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Slack MCP Server

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Official MCP server for Slack, search channels, summarize threads, and draft messages

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TL;DR - Slack MCP Server

  • Search Slack channels and summarize threads from your AI
  • Draft messages and replies in your team tone
  • Official Anthropic-maintained server
Pricing: Free forever
Best for: Individuals & startups

Pros & Cons

Pros

  • Catch up on missed conversations instantly
  • AI drafts match your team communication style

Cons

  • Requires Slack bot token with appropriate scopes
  • Write access can send messages, scope carefully

Key Features

Channel searchThread summarizationMessage draftingNotification managementUser and channel listing

Pricing Plans

Open Source

Free

  • Full source code access
  • Community support
  • Self-hosted

What is Slack MCP Server?

Editorial review
Slack MCP Server gives your AI assistant access to Slack workspaces. Search channels, read and summarize threads, draft replies, and manage notifications. Maintained by Anthropic.

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Slack MCP Server FAQ

What can Slack MCP Server do?

Slack MCP Server lets AI agents read and send messages, manage channels, search conversations, and access user profiles in your Slack workspace. Agents can participate in discussions, summarize threads, and automate routine communications.

How does Slack MCP Server authenticate?

You create a Slack App in your workspace with the necessary OAuth scopes (channels:read, chat:write, etc.) and pass the Bot User OAuth Token as the SLACK_BOT_TOKEN environment variable.

Is Slack MCP Server free?

The MCP server is free and open source. Slack API access is free for most operations within Slack's rate limits. Your Slack workspace plan (Free, Pro, Business+) determines message history and feature availability.

Can Slack MCP Server read private channels?

Only if the Slack bot is invited to those channels and has the groups:read and groups:history OAuth scopes. The bot cannot access channels it has not been added to.

What are practical uses for Slack MCP Server with AI?

Summarizing long threads, drafting messages based on context, searching past conversations for decisions, cross-posting updates between channels, and creating automated standup reports from recent channel activity.

Source: github.com

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