Slack

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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.

Características Principales

• Group recent channel messages by sender for organized viewing.
• Summarize channel conversations using a connected Large Language Model (LLM).
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• Fetch recent messages from any Slack channel.
• Retrieve messages sent by a specific user within a channel.

Casos de Uso

• Generating AI-powered summaries of Slack channel discussions for quick insights.
• Automating Slack message retrieval and analysis for specific channels or users.
• Developing and understanding Model Context Protocol (MCP) applications through a practical example.