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Twitch Chat and Stream Management Server

Created By
Eclipse-XV9 months ago
Enable AI agents to interact with Twitch streams by sending chat messages, managing polls and predictions, creating clips, analyzing chat activity, and moderating users. Automate stream title and category updates while leveraging intelligent user resolution and timeout duration suggestions for effective moderation. Simplify Twitch stream management and enhance viewer engagement through standardized AI tools.
Content

Twitch MCP Server

AI-powered tools for Twitch streamers, exposed via the Model Context Protocol (MCP). Connect your coding/chat assistants (Qwen Code, LM Studio, Claude, etc.) to your Twitch chat for moderation, stream management, and engagement.

Quick start (no cloning required)

  • Prerequisites: Node.js 14+ and Java 11+ available on your system PATH

  • Create a config file with your Twitch credentials (bare access token, no "oauth:" prefix):

    • Windows: C:/Users/<you>/AppData/Roaming/twitch-mcp/config.json
    • macOS: ~/Library/Application Support/twitch-mcp/config.json
    • Linux: ~/.config/twitch-mcp/config.json

    Example config.json:

    {
      "channel": "YOUR_TWITCH_USERNAME",
      "auth": "YOUR_TWITCH_ACCESS_TOKEN",  
      "clientId": "YOUR_TWITCH_CLIENT_ID",
      "broadcasterId": "YOUR_BROADCASTER_ID",
      "showConnectionMessage": true
    }
    

Note: You do not need to start the server yourself when using Qwen Code. Qwen will launch it using the configuration below.

Add to your Qwen settings (Windows path shown):

{
  "mcpServers": {
    "twitch-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "twitch-mcp-server@latest",
        "--config",
        "C:/Users/<you>/AppData/Roaming/twitch-mcp/config.json"
      ]
    }
  }
}

Notes

  • Use a bare access token in auth. The server formats it correctly for both IRC and API.
  • Only one client (e.g., Qwen Code) should connect at a time.
  • Make sure Node and Java are installed on the same OS where Qwen runs (on Windows, not WSL).

Features

  • Chat: send and read messages; recent chat log; chat analysis
  • Moderation: timeout/ban users (by username or descriptor)
  • Stream management: update title/category; create clips
  • Interactive: polls and predictions

Troubleshooting

  • Authentication failed or no tools appear:
    • Confirm auth is a bare token (no oauth:)
    • Verify clientId and scopes match the token you generated
    • Ensure broadcasterId matches your channel
  • npx prompts in headless environments: the Qwen config above uses -y to run non-interactively

Developers

  • Power users can build from source with Maven/Quarkus, but normal users do not need to clone or build. The npm package bundles the runner and is the recommended path.
  • For containerized deployments, see README_DEVELOPERS.md for Docker instructions. The Dockerfile supports both Quarkus native and NPM modes, with the NPM mode being particularly useful for inspection and debugging.

Server Config

{
  "mcpServers": {
    "twitch-mcp-smithery": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "@smithery/cli@latest",
        "run",
        "@Eclipse-XV/twitch-mcp-smithery",
        "--key",
        "YOURKEYHERE",
        "--profile",
        "YOURPROFILEHERE"
      ]
    }
  }
}
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