# Agent Communication MCP

> Use this tool when you need to facilitate collaboration among autonomous AI agents on software projects, enabling them to work together seamlessly through file-based task management. It solves problems of inter-agent communication and coordination, allowing agents to exchange information via the Model Context Protocol. Ideal for use in complex software development projects that require multiple AI agents to work together towards a common goal.

Canonical page: https://skillsregistry.net/skills/mattes337-agentcommunicationmcp  
JSON: https://api.skillsregistry.net/v1/skills/mattes337-agentcommunicationmcp

## Description

Facilitates autonomous AI agent collaboration on software projects through file-based task management and inter-agent communication via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z48pmsmlxp)
- **Repository:** <https://github.com/mattes337/AgentCommunicationMcp>

## 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": "mattes337-agentcommunicationmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mattes337-agentcommunicationmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mattes337-agentcommunicationmcp/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