Twitch▌
by mtane0412
Unlock Twitch analytics and insights with integrated API: channel info, streams, game data, clips, chat, and user profil
Integrates with Twitch API to provide channel info, stream details, game data, user profiles, clips, chat settings, and video comments for building Twitch-related tools and analytics platforms.
best for
- / Building Twitch analytics dashboards
- / Creating stream monitoring tools
- / Developing Twitch chatbots or extensions
- / Analyzing streamer performance data
capabilities
- / Get channel information and profiles
- / Retrieve stream details and viewer counts
- / Search games and categories
- / Fetch clips from channels
- / Access chat settings and badges
- / Get video comments from archived streams
what it does
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.
about
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.
how to install
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.
license
MIT
Twitch is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Twitch MCP Server
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.
Features
- Get channel information (profile, description, creation date, etc.)
- Get stream information (title, game, viewer count, start time, etc.)
- Get list of top games
- Search categories/games
- Search channels
- Get live streams (filterable by game and language)
- Get global emotes
- Get global chat badges
- Get user information
- Get clips from a channel
- Get chat settings
- Get videos from a specified channel
- Get comments from archived videos (using GraphQL API)
Prerequisites
- Node.js (v18 or higher recommended)
- Twitch Developer Account
- Twitch API Client ID and Client Secret
- Twitch GraphQL Client ID (for video comments feature)
Installation
Install the package using npm:
npm install @mtane0412/twitch-mcp-server
Configuration
-
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
Usage
After installation, you can start using the server by running:
npx @mtane0412/twitch-mcp-server
Debugging
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.
License
MIT License
FAQ
- What is the Twitch MCP server?
- Twitch is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Twitch?
- This profile displays 43 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★43 reviews- ★★★★★Arya Iyer· Dec 28, 2024
Useful MCP listing: Twitch is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Arjun Chen· Dec 16, 2024
Strong directory entry: Twitch surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ganesh Mohane· Dec 4, 2024
I recommend Twitch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Mei Kapoor· Dec 4, 2024
Twitch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Sakshi Patil· Nov 23, 2024
According to our notes, Twitch benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Neel Agarwal· Nov 23, 2024
We evaluated Twitch against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Oct 14, 2024
Twitch is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Naina Okafor· Oct 14, 2024
I recommend Twitch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Chinedu Jackson· Sep 25, 2024
I recommend Twitch for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Piyush G· Sep 21, 2024
Twitch is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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