Twitch Smithery is a twitch stream manager for chat moderation, smart timeouts, and stream controls like polls, predicti
by Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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Easily download videos or convert YouTube to MP3/MP4 with our YouTube downloader for quick content analysis using yt-dlp
Twitch Smithery reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Twitch Smithery is the kind of server we cite when onboarding engineers to host + tool permissions.
Twitch Smithery reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Twitch Smithery for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Twitch Smithery for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Twitch Smithery against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: Twitch Smithery surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Twitch Smithery surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Twitch Smithery surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Twitch Smithery is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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Claude Desktop configuration
{
"mcpServers": {
"twitch-mcp": {
"command": "npx",
"args": [
"-y",
"twitch-mcp@latest"
],
"env": {
"TWITCH_CLIENT_ID": "\u003Cyour-twitch-client-id\u003E",
"TWITCH_AUTH_TOKEN": "\u003Cyour-oauth-token-without-oauth-prefix\u003E",
"TWITCH_BROADCASTER_ID": "\u003Cyour-twitch-user-id\u003E",
"TWITCH_CHANNEL": "\u003Cyour-twitch-channel-name\u003E"
}
}
}
}Connects AI systems to Twitch streams for real-time chat moderation, stream management, and viewer interaction through polls and predictions.
Twitch Smithery is a community-built MCP server published by eclipse-xv that provides AI assistants with tools and capabilities via the Model Context Protocol. Twitch Smithery is a twitch stream manager for chat moderation, smart timeouts, and stream controls like polls, predicti It is categorized under communication, other.
You can install Twitch Smithery in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
A comprehensive Twitch MCP (Model Context Protocol) server providing chat moderation, stream management, and Twitch API integration for AI systems.
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.
This MCP server allows AI agents to interact with Twitch streams through a standardized set of tools. It supports:
npm install
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 |
This server is configured for easy deployment on Smithery.
When performing moderation actions, you can provide either:
The server will attempt to resolve the appropriate user based on chat history.
The timeout tool automatically suggests an appropriate duration based on the severity of the provided reason:
While AI assistants (like Cursor/Claude) can process and describe images, there are some considerations when using this with the Twitch MCP server:
sendMessageToChat tool now automatically truncates messages that exceed 500 characters and notifies you when this happensISC
Based on the original Java implementation of Twitch-MCP.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.