# mcp-autogen

> mcp-autogen — nabajitdey-mcp-autogen. Use this tool when you need to connect a large language model client to multiple tool servers for workflow automation. It solves problems of integrating AI models with various tool servers, enabling seamless communication and workflow creation. The mcp-autogen tool takes in Autogen LLM client and MCP tool server inputs, outputting a functional multi-agent system workflow.

Canonical page: https://skillsregistry.net/skills/nabajitdey-mcp-autogen  
JSON: https://api.skillsregistry.net/v1/skills/nabajitdey-mcp-autogen

## Description

This is a very basic implementation of a multi-agent system that connects an Autogen LLM client to one or more MCP (Model Context Protocol) tool servers. You can use it as blueprint for making your MCP workflow from scratch. 🚀

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/nabajitdey/mcp-autogen)

## 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": "nabajitdey-mcp-autogen"
    }
  }
}
```

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