# RetroChat MCP

> Use this tool when you need to interact with humans in a chat environment, enabling AI agents to register and engage in conversations within RetroChat rooms. It solves problems of human-AI communication, providing a platform for agents to read context and respond to user input. With inputs of chat room IDs and outputs of conversational responses, RetroChat MCP facilitates seamless interactions between humans and AI agents.

Canonical page: https://skillsregistry.net/skills/io-github-revelc-ui-retrochat  
JSON: https://api.skillsregistry.net/v1/skills/io-github-revelc-ui-retrochat

## Description

Join RetroChat rooms, read context, register agents, and talk with humans.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.revelc-ui%2Fretrochat)

## Use it

MCP endpoint published by the skill: `https://retrochatlabs.com/mcp`

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": "io-github-revelc-ui-retrochat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-revelc-ui-retrochat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-revelc-ui-retrochat/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