ExpertPack MCP

io.github.brianhearn/ep-mcp · v0.7.0

Serve ExpertPack knowledge packs over MCP with hybrid search, graph traversal and provenance.

Website Source code Set it up

Connect Runs on your machine

Terminal

claude mcp add ep-mcp -e GEMINI_API_KEY=<GEMINI_API_KEY> -e AZURE_OPENAI_API_KEY=<AZURE_OPENAI_API_KEY> -- uvx ep-mcp==0.7.0

claude_desktop_config.json

{
  "mcpServers": {
    "ep-mcp": {
      "command": "uvx",
      "args": [
        "ep-mcp==0.7.0"
      ],
      "env": {
        "GEMINI_API_KEY": "<GEMINI_API_KEY>",
        "AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>"
      }
    }
  }
}

~/.cursor/mcp.json

{
  "mcpServers": {
    "ep-mcp": {
      "command": "uvx",
      "args": [
        "ep-mcp==0.7.0"
      ],
      "env": {
        "GEMINI_API_KEY": "<GEMINI_API_KEY>",
        "AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>"
      }
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "ep-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ep-mcp==0.7.0"
      ],
      "env": {
        "GEMINI_API_KEY": "<GEMINI_API_KEY>",
        "AZURE_OPENAI_API_KEY": "<AZURE_OPENAI_API_KEY>"
      }
    }
  }
}

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools

This server runs locally, so its tools are listed by your MCP client once it starts.

Environment variables

Name	Description
`GEMINI_API_KEY` Optional, secret	Gemini API key for embeddings (or set AZURE_OPENAI_API_KEY when using Azure OpenAI)
`AZURE_OPENAI_API_KEY` Optional, secret	Azure OpenAI key, if the config uses the Azure embedding provider

Details

Package	`[email protected]` (PYPI, stdio)
First published	20 Oct 2026
Last updated	20 Oct 2026
Registry name	`io.github.brianhearn/ep-mcp`

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Live status

Local install

Installed and run on your own machine, so there is no public endpoint to check.

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