Query anything (GitHub, Notion, Google Sheets, +40 services) with SQL and connect LLMs via MCP.
AnyQuery is worth checking the docs before setup with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view julien040/anyquery --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
AI agents can run SQL across your entire toolchain — join GitHub issues with Notion docs in a single query.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 60 days ago.
450 GitHub stars indicate community interest.
12 open issues signal maintenance load.
MIT license detected.
Cross-service SQL queries
Unified data access
Accesses multiple services — audit permissions
Review queries before execution
450
Stars
35
Forks
12
Issues
MIT
License
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
A secure MCP server for AI applications to interact with MySQL databases.
Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
Query anything (GitHub, Notion, Google Sheets, +40 services) with SQL and connect LLMs via MCP.
Data Engineers, Analytics Teams
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Accesses multiple services — audit permissions Review queries before execution
Similar or complementary options to evaluate include MCP Server Collection, mysql_mcp_server, context7.
May 31, 2026
2 security/trust notes recorded.
Setup difficulty is 3/5.