Enterprise DNA
M MCP Servers Developer low

julien040/anyquery

by Various

Query anything (GitHub, Notion, +40 more) with SQL and let LLMs (ChatGPT, Claude) connect to using MCP

J

MCP

julien040/anyquery

Added 1 June 2026

#ai #analytics #api #business-intelligence #chatgpt #csv #data-visualization #database

Overview

Anyquery is a Go-based tool that lets you query data from over 40 sources (including GitHub and Notion) using SQL. It exposes these queries through the Model Context Protocol (MCP), enabling LLMs like ChatGPT and Claude to access the data directly.

Best for

Best for
Developers who want to query multiple SaaS tools with SQL and feed results into LLMs.

Use cases

  • Run SQL queries against GitHub issues, pull requests, or Notion databases
  • Connect an LLM to live data sources via MCP for context-aware responses
  • Automate data extraction from multiple SaaS platforms using standard SQL

Notes

Anyquery is a Go-based tool that lets you query data from over 40 sources (including GitHub and Notion) using SQL. It exposes these queries through the Model Context Protocol (MCP), enabling LLMs like ChatGPT and Claude to access the data directly.

1,706 stars on GitHub. Last updated 2026-05-02.

Use cases

  • Run SQL queries against GitHub issues, pull requests, or Notion databases
  • Connect an LLM to live data sources via MCP for context-aware responses
  • Automate data extraction from multiple SaaS platforms using standard SQL

Pros

  • Supports a wide range of data sources (40+) out of the box
  • Leverages SQL, a familiar language for most developers
  • Integrates with popular LLMs through the MCP standard

Cons

  • Requires Go runtime to install and run
  • MCP integration may add complexity for simple query tasks
  • Limited to read-only queries for most sources

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports a wide range of data sources (40+) out of the box
  • Leverages SQL, a familiar language for most developers
  • Integrates with popular LLMs through the MCP standard

Cons

  • Requires Go runtime to install and run
  • MCP integration may add complexity for simple query tasks
  • Limited to read-only queries for most sources