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"A guide for replying to messages in Slack" matching MCP servers:

  • A
    license
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    quality
    B
    maintenance
    Enables fuzzy searching and browsing of Slack messages, users, and channels via CLI or MCP server integration.
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.
    9
    6
    2
    Apache 2.0
  • A
    license
    C
    quality
    A
    maintenance
    Provides LLMs full access to Slack: messages, channels, files, canvases, lists, search, reactions, and more via 220 tools and 36 API families.
    100
    2
    MIT
  • A
    license
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    quality
    D
    maintenance
    Enables comprehensive interaction with Slack workspaces, allowing users to manage channels, send messages, and search history. It supports managing reminders, pins, reactions, and user information through the Model Context Protocol.
    1
    MIT
  • A
    license
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    quality
    D
    maintenance
    An MCP server that enables AI agents to search and retrieve messages within a Slack workspace using the Slack Web API. It supports specific channel filtering and includes built-in rate limit handling for efficient message discovery.
    56
    MIT
  • A
    license
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    quality
    C
    maintenance
    MCP server that exposes Slack Web API operations as tools, enabling users to list conversations, read history, post messages, and call any Slack Web API method.
    56
    MIT
  • F
    license
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    quality
    D
    maintenance
    A Model Context Protocol server that integrates with Slack API, allowing users to send messages, view channel history, manage channels, send direct messages, and retrieve user lists from Slack workspaces.
    1
  • F
    license
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    quality
    D
    maintenance
    A .NET-based Model Context Protocol server and Python client for interacting with the Slack Web API. It enables AI models to manage channels, send messages, retrieve chat history, and handle emoji reactions.