# Agent Communication MCP Server

> Use this tool when you need to coordinate multiple AI agents and track their progress in real-time, enabling efficient task management and transparent workflow execution across parallel processes. It solves problems of complexity and visibility in multi-agent systems, providing a centralized platform for task creation, monitoring, and analysis. Ideal for use cases requiring real-time coordination and tracking of specialized AI agents.

Canonical page: https://skillsregistry.net/skills/jerfowler-agent-comm-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jerfowler-agent-comm-mcp-server

## Description

Enables Claude to coordinate multiple specialized AI agents by creating tasks, tracking their complete thought process and execution in real-time, and monitoring progress across parallel workflows with full transparency.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jcx2l9cj6g)
- **Repository:** <https://github.com/jerfowler/agent-comm-mcp-server>

## 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": "jerfowler-agent-comm-mcp-server"
    }
  }
}
```

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

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