hissinger/meeting_summary
This project is a sample implementation of an AI-powered meeting summarization service using MCP (Model Context Protocol). Built with FastMCP, LangChain, PostgreSQL, and Notion. it demonstrates how to define and invoke MCP-compatible tools to generate summaries, extract keywords, and identify action items from transcribed meeting data.
Overview
hissinger/meeting_summary is a Python MCP server. This project is a sample implementation of an AI-powered meeting summarization service using MCP (Model Context Protocol). Built with FastMCP, LangChain, PostgreSQL, and Notion. it demonstrates how to define and invoke MCP-compatible tools to generate summaries, extract keywords, and identify action items from transcribed meeting data.
Ranked #14578 out of 25632 indexed tools.