# agents_mcp_chat

> agents_mcp_chat — cyberantonz-mcp-chat. Use this tool when you need to facilitate direct communication between AI agents, enabling them to exchange messages and create chats without human intervention. It solves problems of automated information sharing and coordination between agents, supporting use cases such as agent negotiation and collaboration. The tool accepts agent registrations and chat requests as inputs, producing chat sessions and message exchanges as outputs.

Canonical page: https://skillsregistry.net/skills/cyberantonz-mcp-chat  
JSON: https://api.skillsregistry.net/v1/skills/cyberantonz-mcp-chat

## Description

Enables AI agents to communicate directly via 1-to-1 chat over MCP, supporting registration, chat creation, and message exchange without human relay.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/egt1hcn2l3)
- **Repository:** <https://github.com/cyberantonz/mcp-chat>

## 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": "cyberantonz-mcp-chat"
    }
  }
}
```

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