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Twitch Chat and Stream Management Server MCP Server

@Eclipse-XV

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

Eclipse-XV

Submitted by

Eclipse-XV

About Twitch Chat and Stream Management Server MCP Server

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 s

#twitch#streaming

Twitch Chat and Stream Management Server MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Twitch Chat and Stream Management Server MCP Server tools

Tool list not available yet

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Overview

What is Twitch Chat and Stream Management Server?

It is an MCP server that provides AI-powered tools for Twitch streamers, allowing coding and chat assistants (such as Qwen Code, LM Studio, or Claude) to interface with Twitch chat for moderation, stream management, and engagement.

How to use Twitch Chat and Stream Management Server?

Install Node.js 14+ and Java 11+. Create a config file at the correct OS‑specific path with your Twitch channel name, bare access token, client ID, and broadcaster ID. Then configure your MCP client (e.g., Qwen Code) to use the stdio transport with the command npx -y twitch-mcp-server@latest --config <path>. When using Qwen Code, the server launches automatically; manual startup is not needed.

Key features of Twitch Chat and Stream Management Server

  • Send and read messages; view recent chat logs and perform chat analysis
  • Timeout or ban users by username or descriptor
  • Update stream title and category; create clips
  • Create and manage polls and predictions

Use cases of Twitch Chat and Stream Management Server

  • Automate chat moderation using an AI coding assistant
  • Change stream title or category without leaving your editor
  • Engage viewers by launching polls or predictions through chat commands
  • Retrieve recent chat logs for community analysis or record keeping

Frequently asked questions

1

How do I fix authentication failures?

Ensure the `auth` value is a bare access token (no "oauth:" prefix), verify that your `clientId` and scopes match the token, and confirm that `broadcasterId` matches your channel.

2

Why does npx prompt in headless environments?

The recommended Qwen configuration includes the `-y` flag so that npx runs non‑interactively. Make sure that flag is present in your command arguments.

3

Can multiple clients connect at the same time?

No. Only one client (e.g., Qwen Code) should be connected to the server at a time.

4

What are the system requirements?

Node.js 14+ and Java 11+ must be on the system PATH. They should be installed on the same OS where Qwen runs (on Windows, not under WSL).

5

Where should the config file be placed?

On Windows: `C:/Users/<you>/AppData/Roaming/twitch-mcp/config.json`; on macOS: `~/Library/Application

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