Twitch-Streamer-Server
See setup blow. 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. Twitch MCP — Quick Setup Checklist 1. Generate token: https://twitchtokengenerator.com ✅ Choose Custom Scope Token → scroll to bottom → select scopes (tip: “Select All,” then deselect any you don’t want). ✅ Keep the tab open — you’ll need the Access Token and Client ID in step 3. ------------------------------- 2. Get (Twitch) Broadcaster ID: https://streamweasels.com/tools/convert-twitch-username-to-user-id/ ✅ Enter your Twitch username to get your numeric Broadcaster (Twitch) ID. ✅ Keep the tab open for step 3. ------------------------------- 3. Configure Smithery: https://smithery.ai/server/@Eclipse-XV/twitch-mcp-smithery ✅ In the right-hand box, paste in: Channel Name → Client ID → Access (Auth) Token → Broadcaster ID ------------------------------- 4. Install & Setup Cursor (free Desktop plan): https://cursor.com/home?from=agents ✅ In Cursor, set Agent Mode = Auto (right panel). You'll want to click the Agent Dropdown and edit model choice to Auto. (Optional) Turn on Auto-Run Mode to skip per-request approvals. ✅ On Smithery, click One-click Add to Cursor → Approve. ------------------------------- 5. Test by sending messages or creating polls. ✅ Actions run as your broadcaster account — keep your token private. If compromised or unsure, regenerate the token.
Ask AI about Twitch-Streamer-Server
Powered by Claude · Grounded in docs
I know everything about Twitch-Streamer-Server. Ask me about installation, configuration, usage, or troubleshooting.
0/500
Reviews
Documentation
Twitch MCP Server
A comprehensive Twitch MCP (Model Context Protocol) server providing chat moderation, stream management, and Twitch API integration for AI systems.
For Streamers
- Use this server via Smithery → Cursor (no local install needed)
- Quick setup guide: video-guide/final-setup-guide.md
- Smithery server page (Playground + one‑click add to Cursor): https://smithery.ai/server/@Eclipse-XV/twitch-mcp-smithery
- Recommended first tests:
- "Send a message to chat: Hello from MCP!"
- "Create a poll titled 'Which map?' with choices 'A, B' for 60 seconds"
Note: Actions run as your broadcaster account. Test in Smithery Playground first, then use the Connect section to one‑click add to Cursor and approve.
Overview
This MCP server allows AI agents to interact with Twitch streams through a standardized set of tools. It supports:
- Sending messages to chat
- Creating polls and predictions
- Generating clips
- Analyzing chat for trends and topics
- Moderating chat (timeout/ban users)
- Updating stream title and category
Getting Started
Prerequisites
- Node.js 18+ installed
- Twitch API credentials (Client ID and OAuth token)
- Twitch channel with appropriate permissions
Installation
- Clone this repository
- Install dependencies:
npm install
Configuration
You need to provide Twitch API credentials when connecting to the server. The following configuration options are required:
| Parameter | Description |
|---|---|
twitchClientId | Your Twitch application client ID |
twitchAuthToken | OAuth token (without 'oauth:' prefix) |
twitchBroadcasterId | Your Twitch user ID |
twitchChannel | Your Twitch channel name |
Deployment on Smithery
This server is configured for easy deployment on Smithery.
- Push this repository to GitHub
- Connect your GitHub account to Smithery
- Create a new deployment, selecting this repository
- Configure your Twitch API credentials in the Smithery dashboard
Available Tools
Chat Interaction
- sendMessageToChat: Send a message to Twitch chat
- getRecentChatLog: Get the last 20 chat messages for context
- analyzeChat: Analyze chat for topics and activity
Stream Management
- createTwitchPoll: Create a poll with multiple choices
- createTwitchPrediction: Create a prediction with outcomes
- createTwitchClip: Create a clip of the current stream
- updateStreamTitle: Change the stream title
- updateStreamCategory: Change the game/category
Moderation
- timeoutUser: Timeout a user for a specified duration
- banUser: Permanently ban a user from chat
Advanced Features
Smart User Resolution
When performing moderation actions, you can provide either:
- An exact username
- A behavioral descriptor (e.g., "toxic", "spam")
- A partial username match
The server will attempt to resolve the appropriate user based on chat history.
Intelligent Timeout Duration
The timeout tool automatically suggests an appropriate duration based on the severity of the provided reason:
- Spam/excessive emotes: 5 minutes
- Toxic behavior: 30 minutes
- Severe violations: 60 minutes
- Other violations: 10 minutes (default)
Known Issues & Limitations
Image Description Support
While AI assistants (like Cursor/Claude) can process and describe images, there are some considerations when using this with the Twitch MCP server:
- Image processing: Image analysis is handled by the AI client, not the MCP server itself
- Message length: AI-generated descriptions can be quite long. Twitch chat has a 500 character limit per message
- Auto-truncation: The
sendMessageToChattool now automatically truncates messages that exceed 500 characters and notifies you when this happens - Workaround: For detailed image descriptions, consider asking the AI to provide a shorter summary suitable for chat
Other Considerations
- API Rate Limits: Twitch API has rate limits that may affect rapid successive calls
- Permissions: Ensure your Twitch token has the necessary scopes for all desired features
- Stream Status: Some tools (like creating clips) require an active stream
License
ISC
Credits
Based on the original Java implementation of Twitch-MCP.