# Agent-MCP

> Agent-MCP — ripper4520-agent-mcp. Use this tool when you need to create complex AI applications that require coordinated efforts from multiple specialized agents. Agent-MCP solves problems of inefficient collaboration and parallel processing by enabling agents to work together seamlessly through the Model Context Protocol (MCP). It takes in developer-built AI models and outputs a unified, coordinated system, ideal for use cases involving multi-agent systems and parallel processing.

Canonical page: https://skillsregistry.net/skills/ripper4520-agent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ripper4520-agent-mcp

## Description

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ripper4520/Agent-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": "ripper4520-agent-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ripper4520-agent-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ripper4520-agent-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