Twitch Chat

6

Integrates with Twitch chat using Apache Camel and Quarkus to enable real-time interaction, moderation, and analysis of live stream conversations.

Visit Site GitHub
Category MCP Servers
Added Mar 28, 2026
Views 81

About

This Twitch MCP server, developed by Tom Cools, provides a Quarkus-based interface for AI assistants to interact with Twitch chat. Built using Apache Camel, it offers tools for connecting to Twitch channels and processing chat messages. The implementation focuses on real-time chat interaction, making it efficient for AI models to engage with Twitch audiences. It's particularly useful for enhancing AI capabilities in live streaming contexts, enabling tasks like automated moderation, content analysis, or interactive chatbots without requiring deep knowledge of Twitch's IRC protocol or API intricacies.

Is this your product? Claim this listing with an email at your domain to post updates.

Is this your project?

Claim this listing to manage your page, access analytics, and unlock upgrades. Verification takes 60 seconds.

Log In to Claim

Share This Project

Share on X Share on LinkedIn

Embed Badge

Add this badge to your README:

[![Listed on AiList](https://hifriendbot.com/ai-list/badge/twitch-chat.svg)](https://hifriendbot.com/ai-list/twitch-chat/)
Listed on AiList

Compare

Twitch Chat vs Twitch Smithery Twitch Chat vs Apache Pinot Twitch Chat vs SQL Stream Builder

Similar Projects

Twitch Smithery

4

Integrates with Twitch's IRC and Helix API to provide real-time chat moderation with smart user targeting, automated timeout management, and stream control features including polls, predictions, and content updates.

APIs TypeScript

Apache Pinot

14

Integrates with Apache Pinot to enable real-time analytics queries through SQL execution, table schema inspection, segment analysis, and cluster metadata access for operational monitoring and business intelligence workflows.

MCP Servers

SQL Stream Builder

4

Integrates with SQL Stream Builder and Cloudera Data Platform to enable real-time stream processing management, SQL query execution, job lifecycle control, table and connector management, and comprehensive monitoring for streaming data pipelines.

MCP Servers Python

List Your Project

Join the directory Ai agents read. Free forever.

Submit Your Project