A comprehensive Python library and CLI tool for accessing and analyzing Granola.ai meeting data, featuring a complete MCP (Model Context Protocol)
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
GranolaMCP provides complete access to Granola.ai meeting data through multiple interfaces:
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{
"mcpServers": {
"granolamcp": {
"command": "uvx",
"args": ["granola-mcp"],
"env": {
"GRANOLA_CACHE_PATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| GRANOLA_CACHE_PATH | Filesystem location the server is allowed to use. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Universal project context for all MCP platforms. Auto-detects CLI, 50 MCP tools.
Deterministic, fully editable PowerPoint from typed slide intents. 150+ layouts, brand templates.
The evaluation benchmark on MCP servers
AI-powered equipment diagnosis. This repo ships **TWO** MCP servers — one for industrial automation, and an automotive OBD-II MCP server with a