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Slack MCP Client logo

Slack MCP Client

tuannvm/slack-mcp-client

This client enables AI models (OpenAI GPT-4.1, Anthropic Claude 4.5, Ollama local models) to interact with real tools and systems through Slack conversations. Built on the industry-standard Model Context Protocol (MCP), it provides secure access to filesystems, databases, Kubernetes clusters, Git repositories, and custom tools.

View on GitHub11

Install

npx -y @modelcontextprotocol/server-filesystem $HOME

Client configuration

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "$HOME"
      ]
    }
  }
}

Environment variables

GITHUB_PERSONAL_ACCESS_TOKENSLACK_BOT_TOKENSLACK_APP_TOKENOPENAI_API_KEYOPENAI_MODELLLM_PROVIDERANTHROPIC_API_KEYANTHROPIC_MODELLANGCHAIN_OLLAMA_URLLANGCHAIN_OLLAMA_MODELLANGFUSE_ENDPOINTLANGFUSE_PUBLIC_KEY
GitHub stars
11
Author
@tuannvm
Category
Communication, AI Chatbot
License
MIT
Updated
Oct 6, 2026

About Slack MCP Client

A production-ready bridge between Slack and AI models with full MCP compatibility.

Features

  • Universal MCP Compatibility - Supports all transport methods (HTTP, SSE, stdio)

  • Multi-Provider LLM Support - OpenAI GPT-4.1/4o, Anthropic Claude 4.5, Ollama (Llama 3.3, Qwen, Mistral, DeepSeek)

  • Agent Mode - Multi-step reasoning with LangChain for complex workflows

  • RAG Integration - Knowledge base with semantic search capabilities

  • Thread-Aware Context - Maintains separate conversation history per Slack thread

  • User Context Integration - Personalized responses with cached user information

  • Unique Tool Naming - Server-prefixed tool names prevent conflicts across MCP servers

  • Production Ready - Comprehensive configuration, monitoring, and security

Details on this page are taken from the project's README. Open README

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