# mcp-agent-framework

> mcp-agent-framework — yandatini-mcp-agent-framework. Use this tool when you need to orchestrate multiple AI agents at scale, enabling seamless collaboration and context sharing. It solves problems of agent communication and integration, allowing for enhanced teamwork and efficiency. With git capabilities, it provides a robust interface for managing and deploying AI agent frameworks.

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

## Description

🤖 Orchestrate AI agents at scale using the MCP framework, enabling seamless context sharing, communication, and integration for enhanced collaboration.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Yandatini/mcp-agent-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": "yandatini-mcp-agent-framework"
    }
  }
}
```

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