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Slack MCP Host

@jexp

代码仓库

基本信息

分类

沟通协作

许可证

MIT license

传输方式

stdio

作者

jexp

关于 Slack MCP Host

MCP Host Server Application for Slack

#slack#mcp#bot#integration

Slack MCP Host 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "slack-mcp-host": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Slack MCP Host 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Slack MCP Host?

A Slack bot that integrates MCP (Machine Control Protocol) servers with Slack, providing LLM-powered interactions in dedicated channels. It can execute tools from configured MCP servers and present results in a user-friendly format.

How to use Slack MCP Host?

Install dependencies, configure environment variables (Slack token, OpenAI key, MCP server definitions), and deploy to Cloudflare Workers or run locally with uvicorn. Interact with the bot by mentioning it or messaging in designated Slack channels.

Key features of Slack MCP Host

  • LLM-powered conversations in Slack
  • Integration with multiple MCP servers
  • Markdown rendering support
  • Collapsible tool execution results
  • Conversation history maintenance
  • Secure configuration management

Use cases of Slack MCP Host

  • Query a Neo4j movie database for film details
  • Retrieve current time or date via MCP time server
  • Execute any tool from configured MCP servers in Slack
  • Enable team collaboration with an LLM-powered Slack bot

常见问题

1

What prerequisites are needed to run Slack MCP Host?

Python 3.11+, the uv package manager, a Slack workspace with admin access, an OpenAI API key, and one or more MCP servers.

2

How do I configure MCP servers?

Define each MCP server as an environment variable with a prefix like `SLACK_MCP_` (e.g., `SLACK_MCP_NEO4J_MOVIES=uvx mcp-neo4j-cypher --url ...`).

3

How do I deploy Slack MCP Host?

You can deploy to Cloudflare Workers using Wrangler, or run locally with `uvicorn src.api:app --reload --port 8000` and expose via ngrok.

4

What LLM model does the bot use?

By default it uses GPT-4, as configured in the `.env` file with `OPENAI_MODEL=gpt-4`.

5

Does the bot support formatting and collapsible results?

Yes, it renders Markdown and shows tool execution results inside collapsible `<details>` elements.

评论

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