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Alternatives to slack-bot-mcp

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to interact with Slack workspaces, including listing channels, posting messages, replying to threads, adding reactions, and retrieving user information.
      10
      12 npm
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Enables AI agents to interact with Slack workspaces through OAuth authentication, supporting message reading, posting to channels and threads, and channel discovery with popularity sorting.
      4
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with Slack workspaces through natural language, supporting channel management, message operations, user profiles, reactions, and threaded conversations.
      -
    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to interact with Slack workspaces through comprehensive channel management, messaging, direct messages, search functionality, and user management capabilities.
      30
      3 npm
      2
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables AI agents to interact with Slack using a user token, providing full access to message search, channel history, DMs, and posting as the user.
      8
      -

    TDQS

    A3.8/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools map to distinct resource+action pairs (send/edit/delete_message, reactions_add/remove, conversations_history/replies), and the descriptions explicitly explain boundaries. The one fuzzy cluster is read/wait behavior: check_replies, wait_for_reply, get_inbox and conversations_history all retrieve incoming messages and differ only in polling semantics and scope, which an agent must read carefully to pick correctly. user_info vs users_search is also mildly overlap-prone but clarified by the descriptions.

    Naming Consistency3/5

    Conventions are mixed: verb_noun (send_message, edit_message, check_replies, get_inbox, wait_for_reply), noun_verb mirroring Slack's API (channels_list, reactions_add, reactions_remove, conversations_history, conversations_replies), a bare noun (user_info) and a bare verb-ish name (whoami). All names remain readable and most are guessable to anyone familiar with Slack's API, but there is no single predictable pattern to extrapolate from.

    Tool Count5/5

    14 tools sit comfortably in the well-scoped 3-15 range, and each tool earns its place: identity/context, user & channel discovery, message lifecycle, reading, reactions, and reply-waiting. No obvious filler or redundant duplicate tools.

    Completeness4/5

    The core bot messaging lifecycle is fully covered: send, edit, delete, read history and thread replies, react/unreact, receive mentions/DMs, and wait/check for replies, plus discovery tools for users and channels. Gaps are minor-to-moderate: no file upload/download, no message search, no channel creation/invite or member listing, and edit/delete are limited to the bot's own messages, but agents can work around these for typical bot workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues