mind-mcp-server

Mind MCP Server

Open source MCP server for Mind

🔌 Compatible with Claude Desktop, and any other MCP Client!

Mind MCP is also compatible with any MCP client

The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.

Mind-MCP provides any agentic application with access to fast, reliable RAG with reduced hallucination, powered by Mind's Trusted RAG platform, through the MCP protocol.

Installation

You can install the package directly from PyPI:

pip install mind-mcp

Available Tools

• **ask_mind:**Run a RAG query using Mind, returning search results with a generated response. Args:
  • query: str, The user query to run - required.
  • corpus_keys: list[str], List of Mind corpus keys to use for the search - required. Please ask the user to provide one or more corpus keys.
  • api_key: str, The Mind API key - required.
  • n_sentences_before: int, Number of sentences before the answer to include in the context - optional, default is 2.
  • n_sentences_after: int, Number of sentences after the answer to include in the context - optional, default is 2.
  • lexical_interpolation: float, The amount of lexical interpolation to use - optional, default is 0.005.
  • max_used_search_results: int, The maximum number of search results to use - optional, default is 10.
  • generation_preset_name: str, The name of the generation preset to use - optional, default is "mind-summary-table-md-query-ext-jan-2025-gpt-4o".
  • response_language: str, The language of the response - optional, default is "eng". Returns:
  • The response from Mind, including the generated answer and the search results.
• **search_mind:**Run a semantic search query using Mind, without generation. Args:
  • query: str, The user query to run - required.
  • corpus_keys: list[str], List of Mind corpus keys to use for the search - required. Please ask the user to provide one or more corpus keys.
  • api_key: str, The Mind API key - required.
  • n_sentences_before: int, Number of sentences before the answer to include in the context - optional, default is 2.
  • n_sentences_after: int, Number of sentences after the answer to include in the context - optional, default is 2.
  • lexical_interpolation: float, The amount of lexical interpolation to use - optional, default is 0.005. Returns:
  • The response from Mind, including the matching search results.

Configuration with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "Mind": {
      "command": "uv",
      "args": [
        "tool",
        "run",
        "mind-mcp"
      ]
    }
  }
}

Usage in Claude Desktop App

Once the installation is complete, and the Claude desktop app is configured, you must completely close and re-open the Claude desktop app to see the Mind-mcp server. You should see a hammer icon in the bottom left of the app, indicating available MCP tools, you can click on the hammer icon to see more detial on the Mind-search and Mind-extract tools.

Now claude will have complete access to the Mind-mcp server, including the ask-mind and search-mind tools. When you issue the tools for the first time, Claude will ask you for your Mind api key and corpus key (or keys if you want to use multiple corpora). After you set those, you will be ready to go. Here are some examples you can try (with the Mind corpus that includes information from our website:

Mind RAG Examples

1. Querying Mind corpus:

   ask-mind Who is Amr Awadallah?
   

2. Searching Mind corpus:

   search-mind events in NYC?
   

Acknowledgments ✨

• Model Context Protocol for the MCP specification
• Anthropic for Claude Desktop

About

Open source MCP server for Mind

Resources

Readme

License

Apache-2.0 license

Security policy

Security policy