This project serves as a powerful multi-tool server for Slack automation, leveraging the FastMCP library to enable AI agents to interact with Slack data. It provides a suite of tools for fetching, filtering, grouping, and summarizing Slack messages, making it an excellent resource for learning about and building Model Context Protocol (MCP) applications. By integrating with large language models, it transforms raw Slack data into actionable insights, facilitating advanced Slack management and analysis.
主な機能
01Group recent channel messages by sender for organized viewing.
02Summarize channel conversations using a connected Large Language Model (LLM).
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04Fetch recent messages from any Slack channel.
05Retrieve messages sent by a specific user within a channel.
