Slack Notifier MCP
Related Servers
Alternatives to Slack Notifier MCP
No user-submitted related servers found.
Related Servers
- FlicenseAqualityNot gradedmaintenanceEnables two-way communication between Claude and Slack for posting messages, managing threads, and handling files. It specifically supports asynchronous workflows by allowing Claude to poll for remote user replies and send task notifications.9-
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible clients to interact with Slack through Web API tools and subscribe to inbound Slack messages via Socket Mode notifications.31 npm2MIT
- FlicenseNot gradedqualityDmaintenanceA Human-in-the-Loop MCP server that enables AI assistants to request information or clarification from humans via Slack. It uses real-time, thread-based conversations with socket mode integration to bridge the gap between AI systems and human experts.6-
- AlicenseNot gradedqualityBmaintenanceA production-ready MCP server for the Slack API that enables searching, listing channels, reading history, inspecting users, fetching threads, and sending messages through controlled Slack tools.30,839 npmMIT
- FlicenseAqualityDmaintenanceMCP server for sending messages to Slack channels and replying in threads, with automatic channel name resolution and support for Claude Desktop and KADI agents.2-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that connects to Slack via Socket Mode (WebSocket) and surfaces real-time message notifications through MCP tools. No public URL or ngrok needed.-
TDQS
Scored across 3 tools
Each tool has a distinct purpose: ask_user for interactive questions, get_thread_replies for retrieving thread responses, and send for posting messages. No semantic overlap.
All tools use snake_case verb_noun pattern (ask_user, get_thread_replies), with 'send' being a single-verb exception but still follows the verb-first convention. Minor inconsistency in specificity.
Three tools is minimal for a Slack integration, but the server's 'notifier' scope justifies a lean set. Still, the surface feels thin compared to typical Slack API needs.
Core messaging workflows are covered: send, read replies, and ask for input. However, missing essential operations like listing channels, updating messages, or managing reactions limit the surface.