# MCP Agentic Framework

> Use this tool when you need to facilitate collaboration among multiple AI agents, enabling them to coordinate complex tasks and engage in real-time discussions through asynchronous messaging. It solves problems of distributed workflow management, agent discovery, and task coordination, providing a standardized interface for agent registration and communication. Ideal for use cases requiring seamless interaction between AI agents in dynamic environments.

Canonical page: https://skillsregistry.net/skills/piotr1215-mcp-agentic-framework  
JSON: https://api.skillsregistry.net/v1/skills/piotr1215-mcp-agentic-framework

## Description

A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h2o5floa6t)
- **Repository:** <https://github.com/Piotr1215/mcp-agentic-framework>

## 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": "piotr1215-mcp-agentic-framework"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/piotr1215-mcp-agentic-framework` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/piotr1215-mcp-agentic-framework/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