GranolaMCP MCP Server

A comprehensive Python library and CLI tool for accessing and analyzing Granola.ai meeting data, featuring a complete MCP (Model Context Protocol) server for AI integration. That is what the granolamcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

GranolaMCP provides complete access to Granola.ai meeting data through multiple interfaces:

Getting it running

granola-mcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.

What it needs from you

Configuration is passed through the environment: GRANOLA_CACHE_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

• Python 3.12 or higher - No external dependencies (uses only Python standard library)

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by pedramamini; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.