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    Anyquery

    Query anything (GitHub, Notion, +40 more) with SQL and let LLMs (ChatGPT, Claude) connect to using MCP Go-based implementation. Trusted by 1300+ developers.

    1,371 stars
    Go
    Updated Oct 2, 2025
    ai
    analytics
    api
    business-intelligence
    chatgpt
    csv
    data-visualization
    database
    github
    go
    hacktoberfest
    json
    llm
    mcp
    mysql
    notion
    parquet
    salesforce
    sql
    sqlite

    Documentation

    Anyquery

    GitHub Downloads (all assets, all releases)

    GitHub commit activity

    Documentation

    GitHub issues

    Dynamic JSON Badge

    Dynamic JSON Badge

    Go Reference

    Trust Score

    Anyquery is a SQL query engine that allows you to run SQL queries on pretty much anything. It supports querying files, databases, and apps (e.g. Apple Notes, Notion, Chrome, Todoist, etc.). It's built on top of SQLite and uses plugins to extend its functionality.

    It can also connect to LLMs (e.g. ChatGPT, Claude, Cursor, TypingMind, etc.) to allow them to access your data.

    Finally, it can act as a MySQL server, allowing you to run SQL queries from your favorite MySQL-compatible client (e.g. TablePlus, Metabase, etc.).

    Anyquery header

    Usage

    Connecting LLM

    LLMs can connect to Anyquery using the Model Context Protocol (MCP). This protocol provides context for LLMs that support it. You can start the MCP server with the following command:

    bash
    # To be started by the LLM client
    anyquery mcp --stdio
    # To connect using an HTTP and SSE tunnel
    anyquery mcp --host 127.0.0.1 --port 8070

    You can also connect to clients that supports function calling (e.g. ChatGPT, TypingMind). Refer to each connection guide in the documentation for more information.

    bash
    # Copy the ID returned by the command, and paste it in the LLM client (e.g. ChatGPT, TypingMind)
    anyquery gpt

    5ire example

    Running SQL queries

    The documentation provides detailed instructions on how to run queries with Anyquery.

    But let's see a quick example. Type anyquery in your terminal to open the shell mode. Then, run the following query:

    Anyquery SQL examples

    You can also launch the MySQL server with anyquery server and connect to it with your favorite MySQL-compatible client.

    bash
    anyquery server &
    mysql -u root -h 127.0.0.1 -P 8070

    Installation

    The documentation provides detailed instructions on how to install Anyquery on your system. You can install anyquery from Homebrew, APT, YUM/DNF, Scoop, Winget and Chocolatey. You can also download the binary from the releases page.

    Homebrew

    zsh
    brew install anyquery

    ARCH LINUX (AUR)

    bash
    # Install using an AUR helper like yay
    yay -S anyquery-git
    
    # paru
    paru -S anyquery-git

    APT

    bash
    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

    bash
    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

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

    Winget

    powershell
    winget install JulienCagniart.anyquery

    Chocolatey

    powershell
    choco install anyquery

    Plugins

    Anyquery is plugin-based, and you can install plugins to extend its functionality. You can install plugins from the official registry or create your own. Anyquery can also load any SQLite extension.

    Integrations

    License

    Anyquery is licensed under the AGPLv3 license for the core engine. The RPC library is licensed under the MIT license so that anyone can reuse plugins in different projects.

    The plugins are not subject to the AGPL license. Each plugins has its own license and the copyright is owned by the plugin author.

    See the LICENSE file for more information.

    Contributing

    If you want to contribute to Anyquery, please read the contributing guidelines. I currently only accept minor contributions, but I'm open to any suggestions or feedback.

    You can have a brief overview of the project in the architecture documentation.

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