# Agent MCP

> Use this tool when you need to facilitate coordinated AI collaboration and task management across multiple agents. Agent MCP solves problems of agent interaction, context sharing, and visualization, enabling seamless cooperation and efficient task execution. It takes in task assignments and agent interactions as inputs and outputs visualized collaboration workflows and coordinated task outcomes.

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

## Description

A Multi-Agent Collaboration Protocol server that enables coordinated AI collaboration through task management, context sharing, and agent interaction visualization.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eetpqfymqi)
- **Repository:** <https://github.com/rinadelph/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": "rinadelph-agent-mcp"
    }
  }
}
```

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