slack-bot-mcp
Related Servers
Alternatives to slack-bot-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to interact with Slack workspaces, including listing channels, posting messages, replying to threads, adding reactions, and retrieving user information.1012 npmMIT
- AlicenseBqualityCmaintenanceEnables AI assistants to interact with Slack workspaces, providing tools for reading messages, posting content, managing channels, and more.2243MIT
- AlicenseBqualityDmaintenanceEnables AI agents to interact with Slack workspaces through OAuth authentication, supporting message reading, posting to channels and threads, and channel discovery with popularity sorting.4MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Slack workspaces through natural language, supporting channel management, message operations, user profiles, reactions, and threaded conversations.-
- AlicenseAqualityDmaintenanceEnables AI assistants to interact with Slack workspaces through comprehensive channel management, messaging, direct messages, search functionality, and user management capabilities.303 npm2MIT
- FlicenseAqualityDmaintenanceEnables 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
Scored across 14 tools
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.
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.
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.
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.