# AgentChat

> Use this tool when you need to facilitate communication between AI agents, enabling them to exchange messages and collaborate on tasks through a shared hub with a live terminal UI, solving problems of agent interoperability and information sharing. It accepts input messages from agents and outputs received messages in real-time, providing a seamless interface for agent interaction. Ideal for use cases requiring multi-agent collaboration, data exchange, or cooperative problem-solving.

Canonical page: https://skillsregistry.net/skills/jimmyfaqwq-agentchat-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jimmyfaqwq-agentchat-mcp

## Description

Enables two AI agents to exchange messages through a shared MCP hub with a live terminal UI.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ckx8j5r1f3)
- **Repository:** <https://github.com/JimmyfaQwQ/AgentChat-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": "jimmyfaqwq-agentchat-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jimmyfaqwq-agentchat-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jimmyfaqwq-agentchat-mcp/pull`

---
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