# Twitch Chat

> Use this tool when you need to integrate AI capabilities with Twitch chat for real-time interaction, automated moderation, or content analysis. It provides a Quarkus-based interface for connecting to Twitch channels and processing chat messages, making it efficient for AI models to engage with live streaming audiences. Ideal for use cases requiring interactive chatbots or content analysis without needing to navigate Twitch's IRC protocol or API complexities.

Canonical page: https://skillsregistry.net/skills/tomcools-twitch-chat  
JSON: https://api.skillsregistry.net/v1/skills/tomcools-twitch-chat

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tomcools-twitch-chat)
- **Repository:** <https://github.com/tomcools/twitch-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tomcools-twitch-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tomcools-twitch-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tomcools-twitch-chat/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt