Get organizational knowledge into your AI coding assistant in 5 minutes.
UPLO is the organizational digital twin for AI — ingest documents, extract structured knowledge, and expose it via MCP.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"uplo": {
"command": "npx",
"args": ["-y", "@agentdocs1/mcp-server"],
"env": {
"AGENTDOCS_URL": "https://your-instance.uplo.ai",
"API_KEY": "your-api-key"
}
}
}
}See claude_desktop_config.json for the full template.
claude mcp add uplo -- npx -y @agentdocs1/mcp-serverThen set your environment variables:
export AGENTDOCS_URL="https://your-instance.uplo.ai"
export API_KEY="your-api-key"Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"uplo": {
"command": "npx",
"args": ["-y", "@agentdocs1/mcp-server"],
"env": {
"AGENTDOCS_URL": "https://your-instance.uplo.ai",
"API_KEY": "your-api-key"
}
}
}
}Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"uplo": {
"command": "npx",
"args": ["-y", "@agentdocs1/mcp-server"],
"env": {
"AGENTDOCS_URL": "https://your-instance.uplo.ai",
"API_KEY": "your-api-key"
}
}
}
}Run the MCP server alongside your own Supabase instance:
docker compose up -dSee docker-compose.yml for the full configuration.
Once connected, try asking your AI assistant:
- "What is our company's PTO policy?"
- "Who is the expert on data privacy?"
- "What are our Q2 strategic priorities?"
- "Find all contracts expiring in the next 30 days"
- "What systems does the engineering team use?"
| Tool | Description |
|---|---|
search_knowledge |
Semantic search across extracted knowledge |
search_with_context |
GraphRAG: vector search + entity resolution + edge traversal |
export_org_context |
Full organizational context snapshot |
get_directives |
Strategic priorities and directives |
find_knowledge_owner |
Find subject matter experts |
propose_update |
Suggest knowledge base updates |
report_knowledge_gap |
Flag missing information |
flag_outdated |
Mark stale entries |
get_identity_context |
Agent identity and org context |
log_conversation |
Log agent conversations for audit |
export_workspace |
Export digital twin as workspace files |
UPLO is the organizational digital twin for AI. Ingest documents (1,400+ formats), extract structured knowledge (195 schemas across 40 industry packs), build organizational context layers, and expose it all via MCP server with GraphRAG.
- Website: uplo.ai
- Documentation: docs.uplo.ai
- MCP Server: @agentdocs1/mcp-server
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