mcp_slack
Related Servers
Alternatives to mcp_slack
No user-submitted related servers found.
Related Servers
- -
- AlicenseNot gradedqualityCmaintenanceA bearer-authed message hub for AI coding agents to communicate across machines and sessions, providing tools for sending, polling, and managing channels.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to publish and manage content in MAX messenger channels, including text, photos, videos, audio, documents, location pins, buttons, edits, and pins.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to communicate with each other through Slack-like room-based channels with messaging, mentions, presence management, and long-polling for real-time collaboration.1,014 npm4MIT
- AlicenseNot gradedqualityDmaintenanceAn 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.25 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables connecting chat channels to an Agent you control, letting authorized people assign work, steer ongoing tasks, and receive results directly from their chat app.213 npmApache 2.0
TDQS
Scored across 4 tools
The tools are mostly distinct, but get_recent_slack_messages and get_user_messages could be confused as both fetch messages from channels. However, get_user_messages specifies a user filter, which helps differentiate it. The other tools (get_user_info, post_message) have clear, non-overlapping purposes.
All tool names follow a consistent verb_noun pattern with snake_case (e.g., get_recent_slack_messages, post_message). There are no deviations in naming conventions, making the set predictable and readable.
With only 4 tools, the server feels thin for a Slack integration, which typically involves more operations like managing channels, files, or reactions. However, it covers basic messaging and user info, so it's borderline but not severely lacking.
The server covers core messaging operations (post and fetch) and user info, but there are notable gaps such as updating or deleting messages, listing channels, or handling reactions. Agents can work around this for basic tasks, but advanced workflows may fail.