Anyquery MCP Details

Anyquery MCP is the Model Context Protocol endpoint for the Anyquery SQL engine, enabling large language models (LLMs) like ChatGPT and Claude to connect to and query data through MCP. This MCP server acts as a bridge between LLMs and Anyquery’s data integrations, allowing LLMs to contextually access files, databases, and apps via the MCP interface. It complements Anyquery’s SQL querying capabilities by providing a standardized, secure channel for LLMs to request data access, execute SQL-like interactions, and receive structured results. The MCP integration is designed to be used in conjunction with Anyquery’s SQL runtime, including its MySQL-compatible server mode for client tooling, and is part of the broader MCP-enabled ecosystem described in the project docs.

Use Case

Use MCP with Anyquery to enable LLMs to access your data sources via a standardized protocol. This allows an LLM to request data or run queries against files, databases, and apps integrated with Anyquery, while leveraging the engine’s SQL core. Example workflow: an LLM connects to the MCP server, authenticates, and then issues data-access/SQL requests through the MCP channel. For developers, start the MCP server from the command line to expose the MCP endpoint and then connect an LLM client (e.g., ChatGPT, Claude) using the MCP bridge. The following commands demonstrate starting and using the MCP server and connecting an LLM client:

  • Start MCP server for standard I/O: anyquery mcp --stdio

  • Start MCP server over HTTP/SSE: anyquery mcp --host 127.0.0.1 --port 8070

  • Connect an LLM client (example): anyquery gpt
  • These commands are taken directly from the documentation and show how MCP is started and used with LLM clients.

    Available Tools (2)

    Examples & Tutorials

    Code examples from the documentation:

    Start MCP server for standard I/O


    anyquery mcp --stdio

    Start MCP server over HTTP/SSE tunnel


    anyquery mcp --host 127.0.0.1 --port 8070

    Connect an LLM client (e.g., ChatGPT, TypingMind) using function calling


    anyquery gpt

    Installation Guide

    Installation is described in the Anyquery README and includes multiple package managers. Commands from the docs:

    Homebrew:

    brew install anyquery

    ARCH LINUX (AUR):

    yay -S anyquery-git
    <h1 class="text-2xl font-semibold mt-5 mb-3">paru</h1>
    paru -S anyquery-git

    APT:

    echo "deb [trusted=yes] https://apt.julienc.me/ /" | sudo tee /etc/apt/sources.list.d/anyquery.list
    sudo apt update
    sudo apt install anyquery

    YUM/DNF:

    echo "[anyquery]
    name=Anyquery
    baseurl=https://yum.julienc.me/
    enabled=1
    gpgcheck=0" | sudo tee /etc/yum.repos.d/anyquery.repo
    sudo dnf install anyquery

    Scoop:

    scoop bucket add anyquery https://github.com/julien040/anyquery-scoop
    scoop install anyquery

    Winget:

    winget install JulienCagniart.anyquery

    Chocolatey:

    choco install anyquery

    Frequently Asked Questions

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    Important Notes

    The MCP integration is part of Anyquery’s capability to connect LLMs to the data ecosystem. The documentation emphasizes MCP usage for LLM connection and mentions that LLMs can connect to Anyquery using MCP, with commands shown for starting the MCP server and connecting an LLM client. Ensure the MCP host/port is accessible to the LLM client if using the HTTP/SSE tunnel, and follow the specific connection guides for the LLM you are using.

    Details
    Last Updated1/1/2026
    SourceGitHub

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