mcp-test-mcp

An MCP server that helps AI assistants test other MCP servers. It provides tools to connect to target MCP servers, discover their capabilities, execute tools, read resources, and test prompts—all through proper MCP protocol communication.

Features

• Connection Management: Connect to any MCP server (STDIO or HTTP transport), auto-detect protocols, track connection state
• Tool Testing: List all tools with complete input schemas, call tools with arbitrary arguments, get detailed execution results
• Resource Testing: List all resources with metadata, read text and binary content
• Prompt Testing: List all prompts with argument schemas, get rendered prompts with custom arguments
• LLM Integration: Execute prompts end-to-end with actual LLM inference, supports template variables and JSON extraction

Installation

Prerequisites: Node.js 16+ and Python 3.11+

Choose your AI coding tool:

Claude Desktop / Claude Code

Config file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%/Claude/claude_desktop_config.json

Configuration:

{
  "mcpServers": {
    "mcp-test-mcp": {
      "command": "npx",
      "args": ["-y", "mcp-test-mcp"]
    }
  }
}

Or use Claude Code CLI:

claude mcp add mcp-test-mcp -- npx -y mcp-test-mcp

Cursor

Config file location:

• Global: ~/.cursor/mcp.json
• Project: .cursor/mcp.json

Or access via: File → Preferences → Cursor Settings → MCP

Configuration:

{
  "mcpServers": {
    "mcp-test-mcp": {
      "command": "npx",
      "args": ["-y", "mcp-test-mcp"]
    }
  }
}

Windsurf

Config file location: ~/.codeium/windsurf/mcp_config.json

Or access via: Windsurf Settings → Cascade → Plugins

Configuration:

{
  "mcpServers": {
    "mcp-test-mcp": {
      "command": "npx",
      "args": ["-y", "mcp-test-mcp"]
    }
  }
}

VS Code (GitHub Copilot)

Requires VS Code 1.99+ with chat.agent.enabled setting enabled.

Config file location:

• Workspace: .vscode/mcp.json
• Global: Run MCP: Open User Configuration from Command Palette

Configuration:

{
  "servers": {
    "mcpTestMcp": {
      "command": "npx",
      "args": ["-y", "mcp-test-mcp"]
    }
  }
}

Note: VS Code uses servers instead of mcpServers and recommends camelCase naming.

OpenAI Codex CLI

Config file location: ~/.codex/config.toml

Add via CLI:

codex mcp add mcp-test-mcp -- npx -y mcp-test-mcp

Or add manually to config.toml:

[mcp_servers.mcp-test-mcp]
command = "npx"
args = ["-y", "mcp-test-mcp"]

With LLM Integration (Optional)

To use the execute_prompt_with_llm tool, add environment variables to your configuration:

JSON format (Claude, Cursor, Windsurf, VS Code):

{
  "mcpServers": {
    "mcp-test-mcp": {
      "command": "npx",
      "args": ["-y", "mcp-test-mcp"],
      "env": {
        "LLM_URL": "https://your-llm-endpoint.com/v1",
        "LLM_MODEL_NAME": "your-model-name",
        "LLM_API_KEY": "your-api-key"
      }
    }
  }
}

TOML format (Codex):

[mcp_servers.mcp-test-mcp]
command = "npx"
args = ["-y", "mcp-test-mcp"]

[mcp_servers.mcp-test-mcp.env]
LLM_URL = "https://your-llm-endpoint.com/v1"
LLM_MODEL_NAME = "your-model-name"
LLM_API_KEY = "your-api-key"

Local Development

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install from PyPI
pip install mcp-test-mcp

# Or install from source
git clone https://github.com/example/mcp-test-mcp
cd mcp-test-mcp
pip install -e ".[dev]"

Command Line Options

The server supports multiple transports for different deployment scenarios:

# Default: stdio transport (for Claude Desktop/Code)
mcp-test-mcp

# Explicit stdio
mcp-test-mcp --transport stdio

# HTTP transport for web deployments
mcp-test-mcp --transport streamable-http
mcp-test-mcp --transport streamable-http --host 0.0.0.0 --port 8080

# Legacy SSE transport (for backward compatibility)
mcp-test-mcp --transport sse --port 9000

Options:

Flag	Short	Description	Default
--transport	-t	Transport type: stdio, streamable-http, sse	stdio
--host	-H	Host to bind (HTTP transports only)	127.0.0.1
--port	-p	Port to bind (HTTP transports only)	8000

Using with npx:

# HTTP server via npx
npx -y mcp-test-mcp --transport streamable-http --port 8080

Quick Start

Once configured, test MCP servers through natural conversation:

• Connect: "Connect to my MCP server at /path/to/server"
• Connect with auth: "Connect to https://api.example.com/mcp with auth token sk-..."
• Connect via npx: "Connect to the server using command npx with args -y @modelcontextprotocol/server-everything"
• Discover: "What tools does it have?"
• Test: "Call the echo tool with message 'Hello'"
• Status: "What's the connection status?"
• Disconnect: "Disconnect from the server"

Available Tools

Connection Management

• connect_to_server: Connect to a target MCP server. Supports multiple transport modes and authentication:
  • Auto-detect: Pass a URL for HTTP or a file path for stdio
  • Explicit stdio: Use command/args for npm/pip packages (e.g., command="npx", args=["-y", "some-package"])
  • Auth: Bearer tokens via auth="your-token" or OAuth via auth="oauth"
  • Headers: Custom HTTP headers via headers parameter
• disconnect: Close active connection
• get_connection_status: Check connection state and statistics

Tool Testing

• list_tools: Get all tools with complete schemas
• call_tool: Execute a tool with arguments

Resource Testing

• list_resources: Get all resources with metadata
• read_resource: Read resource content by URI

Prompt Testing

• list_prompts: Get all prompts with argument schemas
• get_prompt: Get rendered prompt with arguments
• execute_prompt_with_llm: Execute prompts with actual LLM inference

Utility

• health_check: Verify server is running
• ping: Test connectivity (returns "pong")
• echo: Echo a message back
• add: Add two numbers

Environment Variables

Transport Configuration

These environment variables configure the server transport. CLI arguments take precedence.

Variable	Description	Default
MCP_TEST_TRANSPORT	Transport type: stdio, streamable-http, sse	stdio
MCP_TEST_HOST	Host to bind (HTTP transports only)	127.0.0.1
MCP_TEST_PORT	Port to bind (HTTP transports only)	8000

Priority: CLI argument > environment variable > default

Core

• MCP_TEST_LOG_LEVEL: Logging level (DEBUG, INFO, WARNING, ERROR). Default: INFO
• MCP_TEST_CONNECT_TIMEOUT: Connection timeout in seconds. Default: 30.0

LLM Integration (for execute_prompt_with_llm)

• LLM_URL: LLM API endpoint URL
• LLM_MODEL_NAME: Model name
• LLM_API_KEY: API key

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run with coverage
pytest --cov=mcp_test_mcp --cov-report=html

# Format and lint
black src/ tests/
ruff check src/ tests/
mypy src/

Container Deployment

For deploying mcp-test-mcp in containers (e.g., OpenShift, Kubernetes):

FROM registry.redhat.io/ubi9/python-311:latest

WORKDIR /app

# Install mcp-test-mcp
RUN pip install --no-cache-dir mcp-test-mcp

# Expose HTTP port
EXPOSE 8000

# Run with streamable-http transport
CMD ["mcp-test-mcp", "--transport", "streamable-http", "--host", "0.0.0.0", "--port", "8000"]

Or use environment variables:

# kubernetes deployment snippet
env:
  - name: MCP_TEST_TRANSPORT
    value: "streamable-http"
  - name: MCP_TEST_HOST
    value: "0.0.0.0"
  - name: MCP_TEST_PORT
    value: "8000"

Documentation

• Testing Guide - Complete guide with LLM integration examples

License

MIT License - see LICENSE for details.

Resources

• FastMCP Documentation
• Model Context Protocol Specification
• Cursor MCP Documentation
• Windsurf MCP Documentation
• VS Code MCP Documentation
• Codex MCP Documentation