diff --git a/server/mcp_server_metrics/.python-version b/server/mcp_server_metrics/.python-version new file mode 100644 index 00000000..c8cfe395 --- /dev/null +++ b/server/mcp_server_metrics/.python-version @@ -0,0 +1 @@ +3.10 diff --git a/server/mcp_server_metrics/README.md b/server/mcp_server_metrics/README.md new file mode 100644 index 00000000..5f4a3bbb --- /dev/null +++ b/server/mcp_server_metrics/README.md @@ -0,0 +1,446 @@ +# Metrics MCP Server ![Product Logo](./logo.svg) + +Volcengine Metrics Service is a comprehensive metrics management and monitoring system that provides extensive metrics collection, storage, querying, and visualization capabilities. Metrics MCP Server offers functions such as metrics querying, dashboard management, and data analysis, facilitating natural language-driven metrics management and analysis experience in operation troubleshooting, data analysis, and other scenarios. + + + + + + + + + + + + + + + + + + +
Versionv0.1.0
DescriptionNatural language-driven query and management of Volcengine Metrics data
CategoryObservability
TagsMetrics, Monitoring, Observability
+ +## Tools + +This MCP Server product provides the following Tools (functions/capabilities): + +### Tool 1: metrics_list_workspace + +#### Detailed Description + +Query all workspace instances information under the current account. + +#### Input parameters required for debugging: + +Input: + +```json +{ + "name": "metrics_list_workspace", + "description": "Query all Metrics workspace instances information", + "inputSchema": { + "type": "object", + "properties": { + "page_number": { + "default": 1, + "description": "Page number for pagination", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "Page size for pagination", + "type": "integer" + }, + "name": { + "description": "Workspace name for filtering", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "Volcengine region (e.g., cn-beijing, cn-shanghai, cn-guangzhou)", + "type": "string" + } + }, + "required": [] + } +} +``` + +Output: + +- List of workspaces with metadata + +#### Example Prompt most likely to trigger + +Please list all Metrics workspace instances information. + +### Tool 2: metrics_get_workspace_info + +#### Detailed Description + +Query details of a specific workspace under the current account. + +#### Input parameters required for debugging: + +Input: + +```json +{ + "name": "metrics_get_workspace_info", + "description": "Query details of a specific workspace", + "inputSchema": { + "type": "object", + "properties": { + "workspace_id": { + "description": "Workspace ID", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "Volcengine region (e.g., cn-beijing, cn-shanghai, cn-guangzhou)", + "type": "string" + } + }, + "required": [ + "workspace_id" + ] + } +} +``` + +Output: + +- Workspace details information + +#### Example Prompt most likely to trigger + +Please get workspace information with ID "test-workspace-id". + +### Tool 3: metrics_list_query_clusters + +#### Detailed Description + +Query all query clusters information under the current account. + +#### Input parameters required for debugging: + +Input: + +```json +{ + "name": "metrics_list_query_clusters", + "description": "Query all query clusters information under the current account", + "inputSchema": { + "type": "object", + "properties": { + "page_number": { + "default": 1, + "description": "Page number for pagination", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "Page size for pagination", + "type": "integer" + }, + "name": { + "description": "Query cluster name for filtering", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "Volcengine region (e.g., cn-beijing, cn-shanghai, cn-guangzhou)", + "type": "string" + } + }, + "required": [] + } +} +``` + +Output: + +- List of query clusters with metadata + +#### Example Prompt most likely to trigger + +Please list all query clusters. + +### Tool 4: metrics_get_query_cluster + +#### Detailed Description + +Query details of a specific query cluster under the current account. + +#### Input parameters required for debugging: + +Input: + +```json +{ + "name": "metrics_get_query_cluster", + "description": "Query details of a specific query cluster", + "inputSchema": { + "type": "object", + "properties": { + "cluster_id": { + "description": "Query cluster ID", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "Volcengine region (e.g., cn-beijing, cn-shanghai, cn-guangzhou)", + "type": "string" + } + }, + "required": [ + "cluster_id" + ] + } +} +``` + +Output: + +- Query cluster details information + +#### Example Prompt most likely to trigger + +Please get query cluster information with ID "test-cluster-id". + +### Tool 5: metrics_list_preagg + +#### Detailed Description + +Query all preaggregation rules in the specified workspace under the current account. + +#### Input parameters required for debugging: + +Input: + +```json +{ + "name": "metrics_list_preagg", + "description": "Query all preaggregation rules in the specified workspace under the current account", + "inputSchema": { + "type": "object", + "properties": { + "workspace_name": { + "description": "Workspace name", + "type": "string" + }, + "page_number": { + "default": 1, + "description": "Page number for pagination", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "Page size for pagination", + "type": "integer" + }, + "only_show_mine": { + "default": true, + "description": "Whether to only show rules created by current user", + "type": "boolean" + }, + "region": { + "default": "cn-beijing", + "description": "Volcengine region (e.g., cn-beijing, cn-shanghai, cn-guangzhou)", + "type": "string" + } + }, + "required": [ + "workspace_name" + ] + } +} +``` + +Output: + +- List of preaggregation rules with metadata + +#### Example Prompt most likely to trigger + +Please get all preaggregation rules in workspace named "test_workspace_name". + +### Tool 6: metrics_influx_query + +#### Detailed Description + +Query InfluxDB metrics data from the specified workspace under the current account. + +#### Input parameters required for debugging: + +Input: + +```json +{ + "name": "metrics_influx_query", + "description": "Query InfluxDB metrics data from the specified workspace under the current account", + "inputSchema": { + "type": "object", + "properties": { + "workspace": { + "description": "Workspace name", + "type": "string" + }, + "queries": { + "description": "List of InfluxQL query strings", + "type": "array", + "items": {"type": "string"} + }, + "epoch": { + "description": "Timestamp precision (s/ms/us/ns)", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "Volcengine region (e.g., cn-beijing, cn-shanghai, cn-guangzhou)", + "type": "string" + } + }, + "required": [ + "workspace", + "queries" + ] + } +} +``` + +Output: + +- Query data results + +#### Example Prompt most likely to trigger + +Please query CPU usage in the last 30 minutes using InfluxQL in workspace named "test_workspace_name". + +### Tool 7: metrics_query + +#### Detailed Description + +Query metrics data from the specified workspace under the current account. + +#### Input parameters required for debugging: + +Input: + +```json +{ + "name": "metrics_query", + "description": "Query metrics data from the specified workspace under the current account", + "inputSchema": { + "type": "object", + "properties": { + "workspace": { + "description": "Workspace name", + "type": "string" + }, + "queries": { + "description": "List of query configuration details", + "type": "array", + "items": {"type": "object"} + }, + "start": { + "default": "10m-ago", + "description": "Query start time", + "type": "string" + }, + "end": { + "default": "now", + "description": "Query end time", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "Volcengine region (e.g., cn-beijing, cn-shanghai, cn-guangzhou)", + "type": "string" + } + }, + "required": [ + "workspace", + "queries" + ] + } +} +``` + +Output: + +- Metrics query results + +#### Example Prompt most likely to trigger + +Please query CPU usage metrics in the last 30 minutes in workspace named "test_workspace_name". + +## Compatible Platforms + +Ark, Trae, Cursor, Claude Desktop or other terminals that support MCP Server calls. + +## Service Activation Link (Overall Product) + +https://console.volcengine.com/cloud-monitor/metrics + +## Authentication Method + +API Key ([Signature Mechanism](https://www.volcengine.com/docs/6731/942192)) + +## Installation and Deployment + +### System Dependencies + +- Install Python 3.10 or higher +- Install uv + + - MacOS/Linux + + ```text + curl -LsSf https://astral.sh/uv/install.sh | sh + ``` + + - Windows + + ```text + powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" + ``` + +### Environment Variables + +| Environment Variable Name | Description | Default Value | Acquisition Method | +| ------------------------- | ----------------------------- | ------------- | ----------------------------------------------------------------------- | +| VOLCENGINE_ACCESS_KEY | Volcengine Account ACCESS KEY | - | [Volcengine Access Console](https://console.volcengine.com/iam/keymanage/) | +| VOLCENGINE_SECRET_KEY | Volcengine Account SECRET KEY | - | [Volcengine Access Console](https://console.volcengine.com/iam/keymanage/) | +| VOLCENGINE_REGION | Volcengine Region | cn-beijing | Target region(e.g. cn-beijing, cn-shanghai, cn-guangzhou) | +| METRICS_WORKSPACE_NAME | Default Workspace Name | - | Optional, used as default workspace for metrics query methods | + +### Deployment + +Add the following configuration to your mcp settings file + +```json +{ + "mcpServers": { + "mcp_server_metrics": { + "command": "uvx", + "env": { + "VOLCENGINE_ACCESS_KEY":"Your Volcengine access key", + "VOLCENGINE_SECRET_KEY":"Your Volcengine secret key", + "VOLCENGINE_REGION":"Volcengine region", + "METRICS_WORKSPACE_NAME":"your-workspace-name" + }, + "args": [ + "--from", + "git+https://github.com/volcengine/mcp-server#subdirectory=server/mcp_server_metrics", + "mcp-server-metrics" + ] + } + } +} +``` + +# License + +volcengine/mcp-server is licensed under the [MIT License](https://github.com/volcengine/mcp-server/blob/main/LICENSE) diff --git a/server/mcp_server_metrics/README_zh.md b/server/mcp_server_metrics/README_zh.md new file mode 100644 index 00000000..89c95893 --- /dev/null +++ b/server/mcp_server_metrics/README_zh.md @@ -0,0 +1,446 @@ +# Metrics MCP Server ![产品Logo](./logo.svg) + +火山引擎指标服务（Metrics）是一个全面的指标管理和监控系统，提供了广泛的指标收集、存储、查询和可视化功能。Metrics MCP Server 提供指标查询、仪表盘管理和数据分析等功能，助力运维排查、数据分析等场景下基于自然语言驱动的指标管理和分析体验。 + + + + + + + + + + + + + + + + + + +
版本v0.1.0
描述自然语言驱动查询和管理火山引擎 Metrics 数据
分类可观测
标签指标, 监控, 可观测
+ +## Tools + +本 MCP Server 产品提供以下 Tools (工具/能力): + +### Tool 1: metrics_list_workspace + +#### 详细描述 + +查询当前账户下的所有工作区列表。 + +#### 调试所需的输入参数: + +输入： + +```json +{ + "name": "metrics_list_workspace", + "description": "查询所有的Metrics工作区实例信息", + "inputSchema": { + "type": "object", + "properties": { + "page_number": { + "default": 1, + "description": "分页页码", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "分页大小", + "type": "integer" + }, + "name": { + "description": "工作区名称，用于过滤", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "火山引擎地域（例如：cn-beijing, cn-shanghai, cn-guangzhou）", + "type": "string" + } + }, + "required": [] + } +} +``` + +输出： + +- 工作区列表及元数据 + +#### 最容易被唤起的 Prompt示例 + +请列出所有的 Metrics 工作区实例信息。 + +### Tool 2: metrics_get_workspace_info + +#### 详细描述 + +查询当前账户下的指定工作区详情信息。 + +#### 调试所需的输入参数: + +输入： + +```json +{ + "name": "metrics_get_workspace_info", + "description": "查询在指定地域下的指定工作区详情信息", + "inputSchema": { + "type": "object", + "properties": { + "workspace_id": { + "description": "工作区 ID", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "火山引擎地域（例如：cn-beijing, cn-shanghai, cn-guangzhou）", + "type": "string" + } + }, + "required": [ + "workspace_id" + ] + } +} +``` + +输出： + +- 工作区详情信息 + +#### 最容易被唤起的 Prompt示例 + +请获取工作区 ID 为 "test-workspace-id" 的工作区信息。 + +### Tool 3: metrics_list_query_clusters + +#### 详细描述 + +查询当前账户下的所有查询集群列表。 + +#### 调试所需的输入参数: + +输入： + +```json +{ + "name": "metrics_list_query_clusters", + "description": "查询当前账户下的所有查询集群列表", + "inputSchema": { + "type": "object", + "properties": { + "page_number": { + "default": 1, + "description": "分页页码", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "分页大小", + "type": "integer" + }, + "name": { + "description": "查询集群名称，用于过滤", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "火山引擎地域（例如：cn-beijing, cn-shanghai, cn-guangzhou）", + "type": "string" + } + }, + "required": [] + } +} +``` + +输出： + +- 查询集群列表及元数据 + +#### 最容易被唤起的 Prompt示例 + +请列出所有的查询集群。 + +### Tool 4: metrics_get_query_cluster + +#### 详细描述 + +查询当前账户下的指定查询集群详情信息。 + +#### 调试所需的输入参数: + +输入： + +```json +{ + "name": "metrics_get_query_cluster", + "description": "查询当前账户下的指定查询集群详情信息", + "inputSchema": { + "type": "object", + "properties": { + "cluster_id": { + "description": "查询集群 ID", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "火山引擎地域（例如：cn-beijing, cn-shanghai, cn-guangzhou）", + "type": "string" + } + }, + "required": [ + "cluster_id" + ] + } +} +``` + +输出： + +- 查询集群详情信息 + +#### 最容易被唤起的 Prompt示例 + +请获取查询集群 ID 为 "test-cluster-id" 的查询集群信息。 + +### Tool 5: metrics_list_preagg + +#### 详细描述 + +查询当前账户下指定工作区下的所有预聚合规则列表。。 + +#### 调试所需的输入参数: + +输入： + +```json +{ + "name": "metrics_list_preagg", + "description": "查询当前账户下指定工作区下的所有预聚合规则列表", + "inputSchema": { + "type": "object", + "properties": { + "workspace_name": { + "description": "工作区名称", + "type": "string" + }, + "page_number": { + "default": 1, + "description": "分页页码", + "type": "integer" + }, + "page_size": { + "default": 10, + "description": "分页大小", + "type": "integer" + }, + "only_show_mine": { + "default": true, + "description": "是否只显示当前用户创建的规则", + "type": "boolean" + }, + "region": { + "default": "cn-beijing", + "description": "火山引擎地域（例如：cn-beijing, cn-shanghai, cn-guangzhou）", + "type": "string" + } + }, + "required": [ + "workspace_name" + ] + } +} +``` + +输出： + +- 预聚合规则列表及元数据 + +#### 最容易被唤起的 Prompt示例 + +请获取工作区名为 "test_workspace_name" 下的所有预聚合规则。 + +### Tool 6: metrics_influx_query + +#### 详细描述 + +从当前账户指定工作区中查询 InfluxDB 指标数据。 + +#### 调试所需的输入参数: + +输入： + +```json +{ + "name": "metrics_influx_query", + "description": "从当前账户指定工作区中查询 InfluxDB 指标数据", + "inputSchema": { + "type": "object", + "properties": { + "workspace": { + "description": "工作区名称", + "type": "string" + }, + "queries": { + "description": "InfluxQL 查询语句列表", + "type": "array", + "items": {"type": "string"} + }, + "epoch": { + "description": "时间戳精度 (s/ms/us/ns)", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "火山引擎地域（例如：cn-beijing, cn-shanghai, cn-guangzhou）", + "type": "string" + } + }, + "required": [ + "workspace", + "queries" + ] + } +} +``` + +输出： + +- 查询数据结果 + +#### 最容易被唤起的 Prompt示例 + +请在工作区名为 "test_workspace_name" 中使用 InfluxQL 查询过去三十分钟的 CPU 使用率。 + +### Tool 7: metrics_query + +#### 详细描述 + +从当前账户指定工作区中查询指标数据。 + +#### 调试所需的输入参数: + +输入： + +```json +{ + "name": "metrics_query", + "description": "从当前账户指定工作区中查询指标数据", + "inputSchema": { + "type": "object", + "properties": { + "workspace": { + "description": "工作区名称", + "type": "string" + }, + "queries": { + "description": "查询配置详情列表", + "type": "array", + "items": {"type": "object"} + }, + "start": { + "default": "10m-ago", + "description": "查询起始时间", + "type": "string" + }, + "end": { + "default": "now", + "description": "查询结束时间", + "type": "string" + }, + "region": { + "default": "cn-beijing", + "description": "火山引擎地域（例如：cn-beijing, cn-shanghai, cn-guangzhou）", + "type": "string" + } + }, + "required": [ + "workspace", + "queries" + ] + } +} +``` + +输出： + +- 指标查询结果 + +#### 最容易被唤起的 Prompt示例 + +请在工作区名为 "test_workspace_name" 中查询过去三十分钟的 CPU 使用率。 + +## 可适配平台 + +方舟、Trae、Cursor、Claude Desktop 或支持 MCP Server 调用的其他终端 + +## 服务开通链接 (整体产品) + +https://console.volcengine.com/cloud-monitor/metrics + +## 鉴权方式 + +API Key ([签名机制](https://www.volcengine.com/docs/6731/942192)) + +## 安装部署 + +### 系统依赖 + +- 安装 Python3.10或更高版本 +- 安装uv + + - MacOS/Linux + + ```text + curl -LsSf https://astral.sh/uv/install.sh | sh + ``` + + - Windows + + ```text + powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" + ``` + +### 环境变量 + +| 环境变量名 | 描述 | 默认值 | 获取方式 | +| ---------------------- | ----------------------- | ---------- | ---------------------------------------------------------------- | +| VOLCENGINE_ACCESS_KEY | 火山引擎账号 ACCESS KEY | - | [火山引擎访问控制台](https://console.volcengine.com/iam/keymanage/) | +| VOLCENGINE_SECRET_KEY | 火山引擎账号 SECRET KEY | - | [火山引擎访问控制台](https://console.volcengine.com/iam/keymanage/) | +| VOLCENGINE_REGION | 火山引擎 地域 | cn-beijing | 目标地域(例如 cn-beijing, cn-shanghai, cn-guangzhou) | +| METRICS_WORKSPACE_NAME | 默认工作区名称 | - | 可选，用于指标查询方法的默认工作区 | + +### 部署 + +添加以下配置到你的 mcp settings 文件中 + +```json +{ + "mcpServers": { + "mcp_server_metrics": { + "command": "uvx", + "env": { + "VOLCENGINE_ACCESS_KEY":"Your Volcengine access key", + "VOLCENGINE_SECRET_KEY":"Your Volcengine secret key", + "VOLCENGINE_REGION":"Volcengine region", + "METRICS_WORKSPACE_NAME":"your-workspace-name" + }, + "args": [ + "--from", + "git+https://github.com/volcengine/mcp-server#subdirectory=server/mcp_server_metrics", + "mcp-server-metrics" + ] + } + } +} +``` + +# License + +volcengine/mcp-server is licensed under the [MIT License](https://github.com/volcengine/mcp-server/blob/main/LICENSE) diff --git a/server/mcp_server_metrics/logo.svg b/server/mcp_server_metrics/logo.svg new file mode 100644 index 00000000..9ff5201e --- /dev/null +++ b/server/mcp_server_metrics/logo.svg @@ -0,0 +1,20 @@ + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/server/mcp_server_metrics/pyproject.toml b/server/mcp_server_metrics/pyproject.toml new file mode 100644 index 00000000..8fd10b06 --- /dev/null +++ b/server/mcp_server_metrics/pyproject.toml @@ -0,0 +1,24 @@ +[project] +name = "mcp-server-metrics" +version = "0.1.0" +description = "Metrics MCP Server for Volcengine" +readme = "README.md" +authors = [ + { name = "yeqiongzhou", email = "yeqiongzhou@bytedance.com" } +] +requires-python = ">=3.10" +dependencies = [ + "mcp[cli]>=1.12.0", + "requests>=2.32.0", + "volcengine-python-sdk>=4.0.30", +] + +[project.scripts] +mcp-server-metrics = "mcp_server_metrics.main:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.metadata] +allow-direct-references = true diff --git a/server/mcp_server_metrics/requirements.txt b/server/mcp_server_metrics/requirements.txt new file mode 100644 index 00000000..b1c9af6c --- /dev/null +++ b/server/mcp_server_metrics/requirements.txt @@ -0,0 +1,133 @@ +# This file was autogenerated by uv via the following command: +# uv pip compile pyproject.toml -o requirements.txt +annotated-doc==0.0.4 + # via typer +annotated-types==0.7.0 + # via pydantic +anyio==4.9.0 + # via + # httpx + # mcp + # sse-starlette + # starlette +attrs==25.3.0 + # via + # jsonschema + # referencing +certifi==2025.4.26 + # via + # httpcore + # httpx + # requests + # volcengine-python-sdk +cffi==2.0.0 + # via cryptography +charset-normalizer==3.4.5 + # via requests +click==8.3.1 + # via + # typer + # uvicorn +cryptography==46.0.5 + # via pyjwt +exceptiongroup==1.3.0 + # via anyio +h11==0.16.0 + # via + # httpcore + # uvicorn +httpcore==1.0.9 + # via httpx +httpx==0.28.1 + # via mcp +httpx-sse==0.4.0 + # via mcp +idna==3.10 + # via + # anyio + # httpx + # requests +jsonschema==4.25.0 + # via mcp +jsonschema-specifications==2025.4.1 + # via jsonschema +markdown-it-py==4.0.0 + # via rich +mcp==1.26.0 + # via mcp-server-metrics (pyproject.toml) +mdurl==0.1.2 + # via markdown-it-py +pycparser==3.0 + # via cffi +pydantic==2.11.4 + # via + # mcp + # pydantic-settings +pydantic-core==2.33.2 + # via pydantic +pydantic-settings==2.9.1 + # via mcp +pygments==2.19.2 + # via rich +pyjwt==2.11.0 + # via mcp +python-dateutil==2.9.0.post0 + # via volcengine-python-sdk +python-dotenv==1.1.0 + # via + # mcp + # pydantic-settings +python-multipart==0.0.20 + # via mcp +referencing==0.36.2 + # via + # jsonschema + # jsonschema-specifications +requests==2.32.5 + # via mcp-server-metrics (pyproject.toml) +rich==14.3.3 + # via typer +rpds-py==0.26.0 + # via + # jsonschema + # referencing +shellingham==1.5.4 + # via typer +six==1.17.0 + # via + # python-dateutil + # volcengine-python-sdk +sniffio==1.3.1 + # via anyio +sse-starlette==2.3.4 + # via mcp +starlette==0.46.2 + # via + # mcp + # sse-starlette +typer==0.24.1 + # via mcp +typing-extensions==4.13.2 + # via + # anyio + # cryptography + # exceptiongroup + # mcp + # pydantic + # pydantic-core + # referencing + # typing-inspection + # uvicorn +typing-inspection==0.4.2 + # via + # mcp + # pydantic + # pydantic-settings +urllib3==2.4.0 + # via + # requests + # volcengine-python-sdk +uvicorn==0.34.2 + # via mcp +volcengine-python-sdk==4.0.31 + # via mcp-server-metrics (pyproject.toml) diff --git a/server/mcp_server_metrics/run.sh b/server/mcp_server_metrics/run.sh new file mode 100755 index 00000000..01ee66b2 --- /dev/null +++ b/server/mcp_server_metrics/run.sh @@ -0,0 +1,6 @@ +#!/bin/bash +set -ex +cd `dirname $0` + +cd src +exec python3 -m mcp_server_metrics.main -t streamable-http diff --git a/server/mcp_server_metrics/src/mcp_server_metrics/__init__.py b/server/mcp_server_metrics/src/mcp_server_metrics/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/server/mcp_server_metrics/src/mcp_server_metrics/api.py b/server/mcp_server_metrics/src/mcp_server_metrics/api.py new file mode 100644 index 00000000..c02c5aa8 --- /dev/null +++ b/server/mcp_server_metrics/src/mcp_server_metrics/api.py @@ -0,0 +1,214 @@ +import logging +import requests +import json +from typing import Any, Dict + +from mcp_server_metrics.config import MetricsConfig +from mcp_server_metrics.model import * + +logger = logging.getLogger(__name__) + +# Service name for signing +METRICS_SERVICE_NAME = "metrics" + + +class MetricsApi: + """API client for Volcengine Metrics.""" + + def __init__(self, config: MetricsConfig): + self.config = config + + def _make_request( + self, + method: str, + params: Dict[str, Any] = None, + data: Dict[str, Any] = None, + headers: Dict[str, str] = None, + region: str = None, + ) -> Dict[str, Any]: + """Make a request to the Metrics API with appropriate signing.""" + if headers is None: + headers = { + "Content-Type": "application/json", + "Accept": "application/json", + } + + query = params or {} + body = json.dumps(data) if data else "" + post_params = {} + + # Use request-specific region if provided, otherwise config default + target_region = region or self.config.region + + # Sign the request - path is empty for root URL + self.config.append_authorization( + "/", + method, + headers, + body, + post_params, + query, + target_region, + METRICS_SERVICE_NAME, + ) + + # Get endpoint based on target region + url = self.config.get_endpoint(target_region) + + logger.debug(f"Making {method} request to {url} with params={params}") + + try: + response = requests.request( + method, + url, + params=params, + data=body, + headers=headers, + timeout=30, + ) + + # Detailed error logging + if response.status_code != 200: + logger.error(f"API Error {response.status_code}: {response.text}") + logger.error(f"Request URL: {response.url}") + logger.error(f"Request Headers: {dict(response.request.headers)}") + logger.error(f"Request Body: {response.request.body}") + + response.raise_for_status() + return response.json() + + except requests.exceptions.HTTPError as e: + logger.error(f"HTTP Error {e.response.status_code}: {e.response.text}") + logger.error(f"Request URL: {e.response.url}") + logger.error(f"Request Headers: {dict(e.response.request.headers)}") + logger.error(f"Request Body: {e.response.request.body}") + raise + except Exception as e: + logger.error(f"Request failed: {e}") + raise + + def list_workspaces(self, request: ListWorkspaceRequest) -> ListWorkspaceResponse: + """List workspaces from metrics.""" + params = { + "Action": "ListWorkspace", + "Version": "2024-06-29", + } + + data = { + "PageNumber": request.PageNumber, + "PageSize": request.PageSize, + "Filters": request.Filters, + "ProjectName": request.ProjectName, + "ListGlobal": request.ListGlobal, + } + + logger.debug(f"Calling list_workspaces with params: {params}, data: {data}") + response = self._make_request("POST", params=params, data=data, region=request.Region) + return ListWorkspaceResponse(**response) + + def get_workspace_info(self, request: GetWorkspaceInfoRequest) -> GetWorkspaceInfoResponse: + """Get workspace information from metrics.""" + params = { + "Action": "GetWorkspaceInfo", + "Version": "2024-06-29", + } + + data = { + "WorkspaceId": request.WorkspaceID, + } + + logger.debug(f"Calling get_workspace_info with params: {params}, data: {data}") + response = self._make_request("POST", params=params, data=data, region=request.Region) + return GetWorkspaceInfoResponse(**response) + + def list_query_clusters(self, request: ListQueryClustersRequest) -> ListQueryClustersResponse: + """List query clusters from metrics.""" + params = { + "Action": "ListQueryClusters", + "Version": "2024-06-29", + } + + data = { + "Page": { + "PageNumber": request.PageNumber, + "PageSize": request.PageSize, + }, + "Name": request.Name.strip() if request.Name else None, + "ProjectName": request.ProjectName, + } + + logger.debug(f"Calling list_query_clusters with params: {params}, data: {data}") + response = self._make_request("POST", params=params, data=data, region=request.Region) + return ListQueryClustersResponse(**response) + + def get_query_cluster(self, request: GetQueryClusterRequest) -> GetQueryClusterResponse: + """Get query cluster information from metrics.""" + params = { + "Action": "GetQueryCluster", + "Version": "2024-06-29", + } + + data = { + "Id": request.ClusterID, + } + + logger.debug(f"Calling get_query_cluster with params: {params}, data: {data}") + response = self._make_request("POST", params=params, data=data, region=request.Region) + return GetQueryClusterResponse(**response) + + def list_preagg(self, request: ListPreaggRequest) -> ListPreaggResponse: + """List preaggregation rules from metrics.""" + params = { + "Action": "ListPreagg", + "Version": "2024-06-29", + } + + data = { + "PageNumber": request.PageNumber, + "PageSize": request.PageSize, + "onlyShowMine": request.onlyShowMine, + } + + if request.WorkspaceName: + data["Filters"] = {"WorkspaceName": request.WorkspaceName} + + logger.debug(f"Calling list_preagg with params: {params}, data: {data}") + response = self._make_request("POST", params=params, data=data, region=request.Region) + return ListPreaggResponse(**response) + + def influx_query(self, request: InfluxQueryRequest) -> InfluxQueryResponse: + """InfluxDB query from metrics.""" + params = { + "Action": "InfluxQuery", + "Version": "2024-06-29", + } + + data = { + "Workspace": request.Workspace, + "Queries": request.Queries, + } + + if request.Epoch: + data["Epoch"] = request.Epoch + + logger.debug(f"Calling influx_query with params: {params}, data: {data}") + response = self._make_request("POST", params=params, data=data, region=request.Region) + return InfluxQueryResponse(**response) + + def metrics_query(self, request: MetricsQueryRequest) -> MetricsQueryResponse: + """Query metrics data from metrics.""" + params = { + "Action": "MetricsQuery", + "Version": "2024-06-29", + } + + data = { + "Workspace": request.Workspace, + "Queries": request.Queries, + "Start": request.Start, + "End": request.End, + } + + logger.debug(f"Calling metrics_query with params: {params}, data: {data}") + response = self._make_request("POST", params=params, data=data, region=request.Region) + return MetricsQueryResponse(**response) diff --git a/server/mcp_server_metrics/src/mcp_server_metrics/config.py b/server/mcp_server_metrics/src/mcp_server_metrics/config.py new file mode 100644 index 00000000..cc0ba536 --- /dev/null +++ b/server/mcp_server_metrics/src/mcp_server_metrics/config.py @@ -0,0 +1,126 @@ +import base64 +import json +import logging +import os +from dataclasses import dataclass + +from volcenginesdkcore.signv4 import SignerV4 + +logger = logging.getLogger(__name__) + +VOLCENGINE_ACCESS_KEY = "VOLCENGINE_ACCESS_KEY" +VOLCENGINE_SECRET_KEY = "VOLCENGINE_SECRET_KEY" +VOLCENGINE_SESSION_TOKEN = "VOLCENGINE_SESSION_TOKEN" +VOLCENGINE_REGION = "VOLCENGINE_REGION" +VOLCENGINE_ENDPOINT = "VOLCENGINE_ENDPOINT" +METRICS_WORKSPACE_NAME = "METRICS_WORKSPACE_NAME" + +MCP_SERVER_NAME = "MCP_SERVER_NAME" +MCP_SERVER_MODE = "MCP_SERVER_MODE" +MCP_SERVER_PORT = "MCP_SERVER_PORT" +MCP_SERVER_HOST = "MCP_SERVER_HOST" + +DEFAULT_REGION = "cn-beijing" + + +@dataclass +class MetricsConfig: + """Configuration for Metrics MCP Server. + + Required environment variables: + VOLCENGINE_ACCESS_KEY: The Access key ID for authentication + VOLCENGINE_SECRET_KEY: Access key secret for authentication + VOLCENGINE_REGION: The region of the Metrics service + METRICS_WORKSPACE_NAME: The workspace name of the Metrics service + """ + + access_key: str + secret_key: str + session_token: str + region: str + endpoint: str + workspace_name: str + + def is_valid(self) -> bool: + """Check if the configuration is valid.""" + if self.access_key == "" and self.secret_key == "" and self.session_token == "": + return False + return True + + def get_endpoint(self, region: str) -> str: + """Get endpoint based on region.""" + return f"https://metrics.{region}.volcengineapi.com" + + def append_authorization( + self, path, method, headers, body, post_params, query, region, service + ): + SignerV4.sign( + path, + method, + headers, + body, + post_params, + query, + self.access_key, + self.secret_key, + region, + service, + self.session_token, + ) + + +def validate_required_vars(): + """ + Validate that all required environment variables are set. + + Raises: + ValueError: If any required environment variable is missing. + """ + missing_vars = [] + for var in [VOLCENGINE_ACCESS_KEY, VOLCENGINE_SECRET_KEY]: + if var not in os.environ: + missing_vars.append(var) + + if missing_vars: + raise ValueError( + f"Missing required environment variables: {', '.join(missing_vars)}" + ) + + +def load_config() -> MetricsConfig: + region = os.getenv(VOLCENGINE_REGION, DEFAULT_REGION) + endpoint = f"https://metrics.{region}.volcengineapi.com" + + config = MetricsConfig( + access_key=os.getenv(VOLCENGINE_ACCESS_KEY, ""), + secret_key=os.getenv(VOLCENGINE_SECRET_KEY, ""), + session_token=os.getenv(VOLCENGINE_SESSION_TOKEN, ""), + region=region, + endpoint=endpoint, + workspace_name=os.getenv(METRICS_WORKSPACE_NAME, ""), + ) + logger.info(f"Loaded configuration") + + return config + + +def parse_authorization(authorization: str) -> MetricsConfig: + b = base64.standard_b64decode(authorization) + auth_obj = json.loads(b.decode("utf-8")) + + access_key = auth_obj.get("AccessKeyId") or auth_obj.get("access_key_id") or "" + secret_key = auth_obj.get("SecretAccessKey") or auth_obj.get("secret_access_key") or "" + session_token = auth_obj.get("SessionToken") or auth_obj.get("session_token") or "" + region = os.getenv(VOLCENGINE_REGION, DEFAULT_REGION) + endpoint = f"https://metrics.{region}.volcengineapi.com" + + workspace_name = os.getenv(METRICS_WORKSPACE_NAME, "") + + return MetricsConfig( + access_key=access_key, + secret_key=secret_key, + session_token=session_token, + endpoint=endpoint, + region=region, + workspace_name=workspace_name, + ) diff --git a/server/mcp_server_metrics/src/mcp_server_metrics/main.py b/server/mcp_server_metrics/src/mcp_server_metrics/main.py new file mode 100644 index 00000000..2d4e286b --- /dev/null +++ b/server/mcp_server_metrics/src/mcp_server_metrics/main.py @@ -0,0 +1,66 @@ +#!/usr/bin/env python3 + +import argparse +import logging +import sys + +from mcp_server_metrics.server import init_server + + +def main(): + """Main entry point for the Metrics MCP Server.""" + parser = argparse.ArgumentParser( + description="Run the Metrics MCP Server", + formatter_class=argparse.RawDescriptionHelpFormatter, + ) + parser.add_argument( + "--transport", + "-t", + choices=["sse", "stdio", "streamable-http"], + default="stdio", + help="Transport protocol to use (sse, stdio or streamable-http)", + ) + parser.add_argument( + "--port", + "-p", + type=int, + default=8000, + help="Port to use for streamable-http transport", + ) + parser.add_argument( + "--host", + "-H", + default="0.0.0.0", + help="Host to use for streamable-http transport", + ) + parser.add_argument( + "--log-level", + "-l", + choices=["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"], + default="INFO", + help="Logging level", + ) + + args = parser.parse_args() + + # Configure logging + logging.basicConfig( + level=getattr(logging, args.log_level), + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + stream=sys.stdout, + ) + + logger = logging.getLogger(__name__) + logger.info(f"Starting Metrics MCP Server with {args.transport} transport") + + try: + # Initialize server with configuration + mcp = init_server(port=args.port, host=args.host) + mcp.run(transport=args.transport) + except Exception as e: + logger.error(f"Failed to start server: {e}") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/server/mcp_server_metrics/src/mcp_server_metrics/model.py b/server/mcp_server_metrics/src/mcp_server_metrics/model.py new file mode 100644 index 00000000..4782f030 --- /dev/null +++ b/server/mcp_server_metrics/src/mcp_server_metrics/model.py @@ -0,0 +1,512 @@ +from dataclasses import dataclass +from typing import List, Dict, Optional, Any + + +# Request models + + +@dataclass +class ListWorkspaceRequest: + """Request for listing workspaces. + + Filters only support filtering by "Name" parameter for workspace names. + """ + + PageNumber: int = 1 + PageSize: int = 10 + Filters: Optional[Dict[str, str]] = None + ProjectName: str = "default" + ListGlobal: bool = False + Region: Optional[str] = None + + +@dataclass +class GetWorkspaceInfoRequest: + """Request for getting workspace information.""" + + WorkspaceID: str + Region: Optional[str] = None + + +@dataclass +class ListQueryClustersRequest: + """Request for listing query clusters.""" + + PageNumber: int = 1 + PageSize: int = 10 + Name: str = "" + ProjectName: str = "default" + Region: Optional[str] = None + + +@dataclass +class GetQueryClusterRequest: + """Request for getting query cluster information.""" + + ClusterID: str + Region: Optional[str] = None + + +@dataclass +class ListPreaggRequest: + """Request for listing preaggregation rules.""" + + WorkspaceName: str + PageNumber: int = 1 + PageSize: int = 10 + onlyShowMine: bool = True + Region: Optional[str] = None + + +@dataclass +class InfluxQueryRequest: + """Request for InfluxDB query.""" + + Workspace: str + Queries: List[str] + Epoch: Optional[str] = None + Region: Optional[str] = None + + +@dataclass +class MetricsQueryRequest: + """Request for querying metrics data.""" + + Workspace: str + Queries: List[Dict[str, Any]] + Start: str + End: str + Region: Optional[str] = None + + +# Response models + + +@dataclass +class WorkspaceInfo: + """Workspace information.""" + + ID: str + Status: str + CreateTime: str + UpdateTime: str + WorkspaceBasicInfo: Optional[Dict[str, Any]] = None + Quota: Optional[Any] = None + ChargeType: Optional[str] = None + Privilege: Optional[str] = None + LatestUpdateUserId: Optional[str] = None + CurrentBlacklistMaxDimension: Optional[int] = None + CurrentWquotaMB: Optional[int] = None + LatestBPMUrl: Optional[str] = None + ProjectName: Optional[str] = None + + def __init__(self, **kwargs): + """Handle field name variations and nested structures from API responses.""" + + # Handle field name variations + if 'Id' in kwargs and 'ID' not in kwargs: + kwargs['ID'] = kwargs.pop('Id') + if 'id' in kwargs and 'ID' not in kwargs: + kwargs['ID'] = kwargs.pop('id') + + if 'WorkspaceBasicInfo' not in kwargs: + kwargs['WorkspaceBasicInfo'] = {} + + if 'CreateTime' in kwargs: + if isinstance(kwargs['CreateTime'], int): + try: + from datetime import datetime + kwargs['CreateTime'] = datetime.fromtimestamp(kwargs['CreateTime']).strftime("%Y-%m-%d %H:%M:%S") + except: + pass + if not isinstance(kwargs['CreateTime'], str): + kwargs['CreateTime'] = str(kwargs['CreateTime']) + if 'UpdateTime' in kwargs: + if isinstance(kwargs['UpdateTime'], int): + try: + from datetime import datetime + kwargs['UpdateTime'] = datetime.fromtimestamp(kwargs['UpdateTime']).strftime("%Y-%m-%d %H:%M:%S") + except: + pass + if not isinstance(kwargs['UpdateTime'], str): + kwargs['UpdateTime'] = str(kwargs['UpdateTime']) + + # Set all fields directly on self (not a new object) + fields = ['ID', 'Status', 'CreateTime', 'UpdateTime', 'WorkspaceBasicInfo', + 'Quota', 'ChargeType', 'Privilege', 'LatestUpdateUserId', + 'CurrentBlacklistMaxDimension', 'CurrentWquotaMB', 'LatestBPMUrl', + 'ProjectName'] + + for field in fields: + if field in kwargs: + setattr(self, field, kwargs[field]) + else: + if field == 'WorkspaceBasicInfo': + setattr(self, field, {}) + elif field in ['Quota', 'ChargeType', 'Privilege', 'LatestUpdateUserId', + 'LatestBPMUrl', 'ProjectName']: + setattr(self, field, None) + elif field in ['CurrentBlacklistMaxDimension', 'CurrentWquotaMB']: + setattr(self, field, 0) + elif field in ['CreateTime', 'UpdateTime']: + setattr(self, field, "") + else: + setattr(self, field, '') + + +@dataclass +class ListWorkspaceResponse: + """Response for listing workspaces.""" + + Items: List[WorkspaceInfo] + TotalId: int + ResponseMetadata: Optional[Dict[str, Any]] = None + + def __post_init__(self): + """Convert dictionary items to WorkspaceInfo objects if needed.""" + if self.Items: + processed_items = [] + for item in self.Items: + if isinstance(item, dict): + # Handle field name variations and nested structures + item = item.copy() + + if 'Id' in item and not 'ID' in item: + item['ID'] = item.pop('Id') + if 'id' in item and not 'ID' in item: + item['ID'] = item.pop('id') + + processed_items.append(WorkspaceInfo(**item)) + else: + processed_items.append(item) + self.Items = processed_items + + +@dataclass +class GetWorkspaceInfoResponse: + """Response for getting workspace information.""" + + Workspace: WorkspaceInfo + ResponseMetadata: Optional[Dict[str, Any]] = None + Quota: Optional[Dict[str, Any]] = None + AdvanceInfo: Optional[Dict[str, Any]] = None + StorageInfo: Optional[Dict[str, Any]] = None + PrivateAddr: Optional[str] = None + PublicAddr: Optional[str] = None + BlacklistMaxDimensionCurrent: Optional[int] = None + WquotaMBUsage: Optional[int] = None + ProjectName: Optional[str] = None + + def __init__(self, **kwargs): + """Handle actual API response structure with Summary field.""" + # Handle case where Workspace info is in Summary field + if 'Summary' in kwargs and not 'Workspace' in kwargs: + kwargs['Workspace'] = kwargs.pop('Summary') + + # Initialize all fields + fields = ['Workspace', 'ResponseMetadata', 'Quota', 'AdvanceInfo', 'StorageInfo', + 'PrivateAddr', 'PublicAddr', 'BlacklistMaxDimensionCurrent', + 'WquotaMBUsage', 'ProjectName'] + + for field in fields: + if field in kwargs: + if field == 'Workspace' and isinstance(kwargs[field], dict): + # Convert to WorkspaceInfo object + workspace_dict = kwargs[field].copy() + if 'Id' in workspace_dict and not 'ID' in workspace_dict: + workspace_dict['ID'] = workspace_dict.pop('Id') + if 'id' in workspace_dict and not 'ID' in workspace_dict: + workspace_dict['ID'] = workspace_dict.pop('id') + setattr(self, field, WorkspaceInfo(**workspace_dict)) + else: + setattr(self, field, kwargs[field]) + else: + # Set default values for optional fields + if field in ['Quota', 'AdvanceInfo', 'StorageInfo']: + setattr(self, field, {}) + elif field in ['PrivateAddr', 'PublicAddr', 'ProjectName']: + setattr(self, field, None) + elif field in ['BlacklistMaxDimensionCurrent', 'WquotaMBUsage']: + setattr(self, field, 0) + elif field == 'ResponseMetadata': + setattr(self, field, None) + + +@dataclass +class QueryClusterInfo: + """Query cluster information.""" + + ID: str + Name: str + Status: str + CreatedAt: str + UpdatedAt: str + Description: Optional[str] = None + ProjectName: Optional[str] = None + Region: Optional[str] = None + NodeNum: Optional[int] = None + NodeSpecificationId: Optional[int] = None + NodeSpecificationName: Optional[str] = None + AdvanceConfig: Optional[Dict[str, Any]] = None + Workspaces: Optional[List[Dict[str, Any]]] = None + DeployAZ: Optional[List[Dict[str, Any]]] = None + StatusTicket: Optional[str] = None + + def __init__(self, **kwargs): + """Handle field name variations and nested structures from API responses.""" + # Handle nested QueryClusterBasicInfo structure + if 'QueryClusterBasicInfo' in kwargs: + basic_info = kwargs.pop('QueryClusterBasicInfo') + if basic_info: + for key, value in basic_info.items(): + if key not in kwargs: + kwargs[key] = value + + # Handle field name variations + if 'Id' in kwargs and 'ID' not in kwargs: + kwargs['ID'] = kwargs.pop('Id') + if 'id' in kwargs and 'ID' not in kwargs: + kwargs['ID'] = kwargs.pop('id') + + # Map API field names to model field names + if 'ClusterName' in kwargs and 'Name' not in kwargs: + kwargs['Name'] = kwargs.pop('ClusterName') + + # Keep time fields as string format + if 'CreatedAt' in kwargs and not isinstance(kwargs['CreatedAt'], str): + kwargs['CreatedAt'] = str(kwargs['CreatedAt']) + if 'UpdatedAt' in kwargs and not isinstance(kwargs['UpdatedAt'], str): + kwargs['UpdatedAt'] = str(kwargs['UpdatedAt']) + + if 'CreateTime' in kwargs and 'CreatedAt' not in kwargs: + kwargs['CreatedAt'] = str(kwargs['CreateTime']) + if 'UpdateTime' in kwargs and 'UpdatedAt' not in kwargs: + kwargs['UpdatedAt'] = str(kwargs['UpdateTime']) + + # Set all fields directly on self (not a new object) + fields = ['ID', 'Name', 'Status', 'CreatedAt', 'UpdatedAt', + 'Description', 'ProjectName', 'Region', 'NodeNum', 'NodeSpecificationId', + 'NodeSpecificationName', 'AdvanceConfig', 'Workspaces', 'DeployAZ', 'StatusTicket'] + + for field in fields: + if field in kwargs: + setattr(self, field, kwargs[field]) + else: + if field == 'Description': + setattr(self, field, None) + elif field in ['ProjectName', 'Region', 'NodeSpecificationName', 'StatusTicket']: + setattr(self, field, None) + elif field in ['NodeNum', 'NodeSpecificationId']: + setattr(self, field, 0) + elif field in ['AdvanceConfig', 'Workspaces', 'DeployAZ']: + setattr(self, field, None) + elif field in ['CreatedAt', 'UpdatedAt']: + setattr(self, field, '') + else: + setattr(self, field, '') + + +@dataclass +class ListQueryClustersResponse: + """Response for listing query clusters.""" + + Items: List[QueryClusterInfo] + TotalId: int + ResponseMetadata: Optional[Dict[str, Any]] = None + + def __init__(self, **kwargs): + """Initialize ListQueryClustersResponse with support for Page.TotalCount.""" + if 'Items' in kwargs: + self.Items = kwargs['Items'] + else: + self.Items = [] + + if 'TotalId' in kwargs: + self.TotalId = kwargs['TotalId'] + elif 'Page' in kwargs and 'TotalCount' in kwargs['Page']: + self.TotalId = kwargs['Page']['TotalCount'] + else: + self.TotalId = 0 + + if 'ResponseMetadata' in kwargs: + self.ResponseMetadata = kwargs['ResponseMetadata'] + else: + self.ResponseMetadata = None + + def __post_init__(self): + """Convert dictionary items to QueryClusterInfo objects if needed.""" + if self.Items: + processed_items = [] + for item in self.Items: + if isinstance(item, dict): + item = item.copy() + + # Handle nested QueryClusterBasicInfo structure if exists + if 'QueryClusterBasicInfo' in item: + item.update(item.pop('QueryClusterBasicInfo')) + + if 'Id' in item and not 'ID' in item: + item['ID'] = item.pop('Id') + if 'id' in item and not 'ID' in item: + item['ID'] = item.pop('id') + + processed_items.append(QueryClusterInfo(**item)) + else: + processed_items.append(item) + self.Items = processed_items + + +@dataclass +class GetQueryClusterResponse: + """Response for getting query cluster information.""" + + Cluster: QueryClusterInfo + ResponseMetadata: Optional[Dict[str, Any]] = None + + def __init__(self, **kwargs): + """Handle API response with Result field containing cluster data.""" + # Handle ResponseMetadata + if 'ResponseMetadata' in kwargs: + self.ResponseMetadata = kwargs['ResponseMetadata'] + else: + self.ResponseMetadata = None + + # Handle cluster data from Result field + if 'Result' in kwargs: + cluster_data = kwargs['Result'].copy() + + # Handle field name variations + if 'Id' in cluster_data and 'ID' not in cluster_data: + cluster_data['ID'] = cluster_data.pop('Id') + if 'id' in cluster_data and 'ID' not in cluster_data: + cluster_data['ID'] = cluster_data.pop('id') + + self.Cluster = QueryClusterInfo(**cluster_data) + else: + self.Cluster = QueryClusterInfo(**{}) + + def __post_init__(self): + """Convert dictionary to QueryClusterInfo object if needed (backward compatibility).""" + if isinstance(self.Cluster, dict): + cluster = self.Cluster.copy() + + # Handle nested QueryClusterBasicInfo structure if exists + if 'QueryClusterBasicInfo' in cluster: + cluster.update(cluster.pop('QueryClusterBasicInfo')) + + if 'Id' in cluster and not 'ID' in cluster: + cluster['ID'] = cluster.pop('Id') + if 'id' in cluster and not 'ID' in cluster: + cluster['ID'] = cluster.pop('id') + + self.Cluster = QueryClusterInfo(**cluster) + + +@dataclass +class PreaggRuleInfo: + """Preaggregation rule information.""" + + ID: int + MetricName: str + Tags: str + WorkspaceName: str + AggType: str + DropOrigin: bool + Owner: str + EnableTimestamp: int + Field: Optional[str] = None + + def __init__(self, **kwargs): + """Handle field name variations from API responses.""" + # Handle field name variations + if 'Id' in kwargs and 'ID' not in kwargs: + kwargs['ID'] = kwargs.pop('Id') + if 'id' in kwargs and 'ID' not in kwargs: + kwargs['ID'] = kwargs.pop('id') + + # Set all fields directly on self (not a new object) + fields = ['ID', 'MetricName', 'Tags', 'WorkspaceName', 'AggType', 'DropOrigin', + 'Owner', 'EnableTimestamp', 'Field'] + + for field in fields: + if field in kwargs: + setattr(self, field, kwargs[field]) + else: + if field == 'Field': + setattr(self, field, None) + elif field == 'DropOrigin': + setattr(self, field, False) + elif field == 'EnableTimestamp': + setattr(self, field, 0) + else: + setattr(self, field, '') + + +@dataclass +class ListPreaggResponse: + """Response for listing preaggregation rules.""" + + Items: List[PreaggRuleInfo] + TotalId: int + ResponseMetadata: Optional[Dict[str, Any]] = None + + def __init__(self, **kwargs): + """Handle API response with PreaggList and Total fields.""" + if 'PreaggList' in kwargs: + items = kwargs['PreaggList'] + processed_items = [] + for item in items: + if isinstance(item, dict): + item = item.copy() + if 'Id' in item and not 'ID' in item: + item['ID'] = item.pop('Id') + if 'id' in item and not 'ID' in item: + item['ID'] = item.pop('id') + processed_items.append(PreaggRuleInfo(**item)) + else: + processed_items.append(item) + self.Items = processed_items + else: + self.Items = [] + + if 'Total' in kwargs: + self.TotalId = kwargs['Total'] + else: + self.TotalId = 0 + + if 'ResponseMetadata' in kwargs: + self.ResponseMetadata = kwargs['ResponseMetadata'] + else: + self.ResponseMetadata = None + + def __post_init__(self): + """Convert dictionary items to PreaggRuleInfo objects if needed (fallback).""" + if self.Items: + processed_items = [] + for item in self.Items: + if isinstance(item, dict): + item = item.copy() + if 'Id' in item and not 'ID' in item: + item['ID'] = item.pop('Id') + if 'id' in item and not 'ID' in item: + item['ID'] = item.pop('id') + processed_items.append(PreaggRuleInfo(**item)) + else: + processed_items.append(item) + self.Items = processed_items + + +@dataclass +class InfluxQueryResponse: + """Response for InfluxDB query.""" + + Result: List[Dict[str, Any]] + ResponseMetadata: Optional[Dict[str, Any]] = None + + +@dataclass +class MetricsQueryResponse: + """Response for querying metrics data.""" + + Result: List[Dict[str, Any]] + ResponseMetadata: Optional[Dict[str, Any]] = None diff --git a/server/mcp_server_metrics/src/mcp_server_metrics/server.py b/server/mcp_server_metrics/src/mcp_server_metrics/server.py new file mode 100644 index 00000000..1fa89660 --- /dev/null +++ b/server/mcp_server_metrics/src/mcp_server_metrics/server.py @@ -0,0 +1,363 @@ +import logging +import os +from typing import Optional, Dict, List, Any + +from mcp.server.fastmcp import Context, FastMCP + +from mcp_server_metrics.api import MetricsApi +from mcp_server_metrics.config import MetricsConfig, load_config, parse_authorization +from mcp_server_metrics.model import ( + ListWorkspaceRequest, + ListWorkspaceResponse, + GetWorkspaceInfoRequest, + GetWorkspaceInfoResponse, + ListQueryClustersRequest, + ListQueryClustersResponse, + GetQueryClusterRequest, + GetQueryClusterResponse, + ListPreaggRequest, + ListPreaggResponse, + InfluxQueryRequest, + InfluxQueryResponse, + MetricsQueryRequest, + MetricsQueryResponse, +) + +# Initialize logger +logging.basicConfig( + level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +) +logger = logging.getLogger(__name__) + +# Initialize FastMCP server +mcp = None + + +def init_server( + name: str = None, + port: int = None, + host: str = None, + streamable_http_path: str = None +): + """Initialize the FastMCP server with custom configuration and register tools.""" + global mcp + + if mcp is None: + mcp = FastMCP( + name or os.getenv("MCP_SERVER_NAME", "mcp_server_metrics"), + port=port or int(os.getenv("MCP_SERVER_PORT", "8000")), + host=host or os.getenv("MCP_SERVER_HOST", "0.0.0.0"), + streamable_http_path=streamable_http_path or os.getenv("STREAMABLE_HTTP_PATH", "/mcp") + ) + + # Register all tools after server initialization + register_tools(mcp) + + return mcp + + +def register_tools(server: FastMCP): + """Register all tools with the given FastMCP server instance.""" + + def init_auth_config() -> MetricsConfig: + """Initialize auth config from env or request context.""" + conf = load_config() # load default config from env + + # Get context from request if available + try: + ctx: Context = server.get_context() + raw_request = ctx.request_context.request + + auth = None + if raw_request: + auth = raw_request.headers.get("authorization", None) + if auth is None: + auth = os.getenv("authorization", None) + if auth is not None: + if " " in auth: + _, base64_data = auth.split(" ", 1) + else: + base64_data = auth + + config = parse_authorization(base64_data) + return config + except Exception as e: + logger.warning(f"Failed to parse authorization from context: {e}") + + if not conf.is_valid(): + raise ValueError("No valid auth info found") + return conf + + @server.tool() + async def list_workspace( + PageNumber: int = 1, + PageSize: int = 10, + Name: str = "", + ProjectName: str = "default", + ListGlobal: bool = False, + Region: Optional[str] = None, + ): + """ + List workspaces from the metrics console. + + Args: + PageNumber: Page number for pagination (default: 1) + PageSize: Page size for pagination (default: 10) + Filters: Filters to apply (optional, Filters only support filtering by "Name" parameter for workspace names.) + ProjectName: Project name (default: "default") + ListGlobal: Whether to list global workspaces (default: False) + Region: Volcengine region (optional, defaults to VOLCENGINE_REGION environment variable if not provided) + + Returns: + List of workspaces with metadata + """ + try: + if PageNumber < 1: + raise ValueError("PageNumber must be at least 1") + if PageSize < 1 or PageSize > 100: + raise ValueError("PageSize must be between 1 and 100") + + req = ListWorkspaceRequest( + PageNumber=PageNumber, + PageSize=PageSize, + Filters={"Name": Name} if Name else None, + ProjectName=ProjectName, + ListGlobal=ListGlobal, + Region=Region, + ) + + config = init_auth_config() + api = MetricsApi(config) + return api.list_workspaces(req) + except ValueError as e: + logger.error(f"Validation error in list_workspace: {e}") + raise + except Exception as e: + logger.error(f"Error in list_workspace: {e}") + raise + + @server.tool() + async def get_workspace( + WorkspaceID: str, + Region: Optional[str] = None, + ): + """ + Get workspace information from the metrics console. + + Args: + WorkspaceID: Workspace ID + Region: Volcengine region (optional, defaults to VOLCENGINE_REGION environment variable if not provided) + + Returns: + Workspace information + """ + try: + req = GetWorkspaceInfoRequest( + WorkspaceID=WorkspaceID, + Region=Region, + ) + + config = init_auth_config() + api = MetricsApi(config) + return api.get_workspace_info(req) + except Exception as e: + logger.error(f"Error in get_workspace: {e}") + raise + + @server.tool() + async def list_query_clusters( + PageNumber: int = 1, + PageSize: int = 10, + Name: str = "", + ProjectName: str = "default", + Region: Optional[str] = None, + ): + """ + List query clusters from the metrics console. + + Args: + PageNumber: Page number for pagination (default: 1) + PageSize: Page size for pagination (default: 10) + Name: Cluster name to filter (optional) + ProjectName: Project name (default: "default") + Region: Volcengine region (optional, defaults to VOLCENGINE_REGION environment variable if not provided) + + Returns: + List of query clusters with metadata + """ + try: + if PageNumber < 1: + raise ValueError("PageNumber must be at least 1") + if PageSize < 1 or PageSize > 100: + raise ValueError("PageSize must be between 1 and 100") + + req = ListQueryClustersRequest( + PageNumber=PageNumber, + PageSize=PageSize, + Name=Name, + ProjectName=ProjectName, + Region=Region, + ) + + config = init_auth_config() + api = MetricsApi(config) + return api.list_query_clusters(req) + except Exception as e: + logger.error(f"Error in list_query_clusters: {e}") + raise + + @server.tool() + async def get_query_cluster( + ClusterID: str, + Region: Optional[str] = None, + ): + """ + Get query cluster information from the metrics console. + + Args: + ClusterID: Query cluster ID + Region: Volcengine region (optional, defaults to VOLCENGINE_REGION environment variable if not provided) + + Returns: + Query cluster information + """ + try: + req = GetQueryClusterRequest( + ClusterID=ClusterID, + Region=Region, + ) + + config = init_auth_config() + api = MetricsApi(config) + return api.get_query_cluster(req) + except Exception as e: + logger.error(f"Error in get_query_cluster: {e}") + raise + + @server.tool() + async def list_preagg( + WorkspaceName: str = "", + PageNumber: int = 1, + PageSize: int = 10, + onlyShowMine: bool = True, + Region: Optional[str] = None, + ): + """ + List preaggregation rules from the metrics console. + + Args: + WorkspaceName: Workspace name to filter (required, defaults to METRICS_WORKSPACE_NAME environment variable if not provided) + PageNumber: Page number for pagination (default: 1) + PageSize: Page size for pagination (default: 10) + onlyShowMine: Whether to only show rules created by current user (default: True) + Region: Volcengine region (optional, defaults to VOLCENGINE_REGION environment variable if not provided) + + Returns: + List of preaggregation rules with metadata + """ + try: + if PageNumber < 1: + raise ValueError("PageNumber must be at least 1") + if PageSize < 1 or PageSize > 100: + raise ValueError("PageSize must be between 1 and 100") + + config = init_auth_config() + + final_workspace_name = WorkspaceName or config.workspace_name + if not final_workspace_name: + raise ValueError("WorkspaceName is required. Please provide it as a parameter or set METRICS_WORKSPACE_NAME environment variable") + + req = ListPreaggRequest( + WorkspaceName=final_workspace_name, + PageNumber=PageNumber, + PageSize=PageSize, + onlyShowMine=onlyShowMine, + Region=Region, + ) + + api = MetricsApi(config) + return api.list_preagg(req) + except Exception as e: + logger.error(f"Error in list_preagg: {e}") + raise + + @server.tool() + async def influx_query( + Queries: List[str], + Workspace: str = "", + Epoch: Optional[str] = None, + Region: Optional[str] = None, + ): + """ + InfluxDB query from cross cluster proxy. + + Args: + Queries: List of InfluxQL query strings + Workspace: Workspace name (defaults to METRICS_WORKSPACE_NAME environment variable if not provided) + Epoch: Time stamp precision (s/ms/us/ns, optional) + Region: Volcengine region (optional, defaults to VOLCENGINE_REGION environment variable if not provided) + + Returns: + Query results + """ + try: + config = init_auth_config() + + final_workspace = Workspace or config.workspace_name + if not final_workspace: + raise ValueError("Workspace is required. Please provide it as a parameter or set METRICS_WORKSPACE_NAME environment variable") + + req = InfluxQueryRequest( + Workspace=final_workspace, + Queries=Queries, + Epoch=Epoch, + Region=Region, + ) + + api = MetricsApi(config) + return api.influx_query(req) + except Exception as e: + logger.error(f"Error in influx_query: {e}") + raise + + @server.tool() + async def metrics_query( + Queries: List[Dict[str, Any]], + Workspace: str = "", + Start: str = "10m-ago", + End: str= "now", + Region: Optional[str] = None, + ): + """ + Query metrics data from cross cluster proxy. + + Args: + Queries: List of query objects with metric details + Workspace: Workspace name (defaults to METRICS_WORKSPACE_NAME environment variable if not provided) + Start: Start time in seconds (timestamp string) + End: End time in seconds (timestamp string) + Region: Volcengine region (optional, defaults to VOLCENGINE_REGION environment variable if not provided) + + Returns: + Metrics query results + """ + try: + config = init_auth_config() + + final_workspace = Workspace or config.workspace_name + if not final_workspace: + raise ValueError("Workspace is required. 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