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.
@jexp
Basic information
MCP Host Server Application for Slack
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"slack-mcp-host": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
Python 3.11+, the uv package manager, a Slack workspace with admin access, an OpenAI API key, and one or more 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 ...`).
You can deploy to Cloudflare Workers using Wrangler, or run locally with `uvicorn src.api:app --reload --port 8000` and expose via ngrok.
By default it uses GPT-4, as configured in the `.env` file with `OPENAI_MODEL=gpt-4`.
Yes, it renders Markdown and shows tool execution results inside collapsible `<details>` elements.
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