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slack-intelligence

MCP server offering tools to interact with Slack workspaces: `list_channels` retrieves available channels, `search_messages` queries content across channels, `get_channel_messages` fetches history from specific channels, `post_message` sends messages, and `summarize_channel` generates content overviews. Developers use it for bot integrations, analysts for conversation data extraction, and ops teams for automation.

slack
messaging
channels
+3
|

Overview

This MCP server provides programmatic access to Slack workspaces through five specialized tools. It allows querying channel structures, retrieving and searching message histories, posting updates, and generating summaries, enabling direct API-like interactions without native Slack SDK setup.

Key Capabilities

  • list_channels: Returns a list of all channels (public, private, DMs) in the connected Slack workspace, including metadata like names, IDs, and member counts.
  • search_messages: Searches messages across specified channels or the workspace using keywords, timestamps, or users, returning matching results with context.
  • get_channel_messages: Fetches recent or paginated messages from a specific channel, including threads, reactions, and attachments.
  • post_message: Sends a text message, formatted content, or attachments to a designated channel.
  • summarize_channel: Analyzes a channel's message history to produce a concise summary of discussions, key topics, and action items.

Use Cases

  1. Bot Development: Use list_channels to discover channels, get_channel_messages to monitor activity, and post_message to respond automatically in support channels.
  2. Data Analysis: Combine search_messages with summarize_channel to extract insights from past conversations, such as decision logs or user feedback trends.
  3. Reporting Automation: Run summarize_channel daily on team channels and post_message summaries to a reporting channel.
  4. Compliance Review: Leverage search_messages and get_channel_messages to audit sensitive discussions in private channels.

Who This Is For

Developers building Slack apps or integrations, data analysts querying team communications for patterns, operations teams automating notifications and reports, and compliance officers reviewing message histories.

Updated Mar 20, 2026