Unlock Twitch analytics and insights with integrated API: channel info, streams, game data, clips, chat, and user profil
by mtane0412·Updated Apr 13, 2026Add 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
Ghibli Video Generator
Turn static images into stunning Ghibli-style animations with this AI video generator. Monitor tasks and credit balance
Twitch Smithery
Twitch Smithery is a twitch stream manager for chat moderation, smart timeouts, and stream controls like polls, predicti
Vibe Composer MIDI
Vibe Composer MIDI lets you compose and play music in real-time with natural language, 128 MIDI instruments, and full BP
YouTube Transcript
Easily fetch and analyze YouTube transcripts by video URL or ID. Use our YouTube transcript tool for fast content analys
Video Edit (MoviePy)
MoviePy-based video editor for fast trimming, merging, resizing, effects & YouTube downloads—an alternative to Clip Cham
Useful MCP listing: Twitch is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Twitch surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Twitch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Twitch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Twitch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Twitch against two servers with overlapping tools; this profile had the clearer scope statement.
Twitch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Twitch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Twitch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Twitch is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
showing 1-10 of 43
Share your MCP server with the developer community
Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"twitch": {
"command": "npx",
"args": [
"-y",
"@mtane0412/twitch-mcp-server"
],
"env": {
"TWITCH_CLIENT_ID": "your_client_id",
"TWITCH_CLIENT_SECRET": "your_client_secret"
}
}
}
}Connects to Twitch API to fetch channel information, stream data, user profiles, clips, chat settings, and video comments. Requires Twitch API credentials to access Twitch's data programmatically.
Twitch is a community-built MCP server published by mtane0412 that provides AI assistants with tools and capabilities via the Model Context Protocol. Unlock Twitch analytics and insights with integrated API: channel info, streams, game data, clips, chat, and user profil It is categorized under other.
You can install Twitch 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 Model Context Protocol (MCP) server that interacts with the Twitch API. This server utilizes the Twitch Helix API to retrieve channel information, stream details, game data, and more.
Install the package using npm:
npm install @mtane0412/twitch-mcp-server
Create a new application in the Twitch Developer Console
Set the following environment variables:
# macOS/Linux
export TWITCH_CLIENT_ID="your_client_id"
export TWITCH_CLIENT_SECRET="your_client_secret"
# Windows (PowerShell)
$env:TWITCH_CLIENT_ID="your_client_id"
$env:TWITCH_CLIENT_SECRET="your_client_secret"
Alternatively, you can create a .env file:
TWITCH_CLIENT_ID=your_client_id
TWITCH_CLIENT_SECRET=your_client_secret
After installation, you can start using the server by running:
npx @mtane0412/twitch-mcp-server
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspect
The Inspector will provide a URL to access debugging tools in your browser.
MIT License
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.