automcp

by NapthaAI

301 stars
220 downloads
Not rated
GitHub Website

About

Easily convert tool, agents and orchestrators from existing agent frameworks to MCP servers

Details

Author
NapthaAI
GitHub stars
301
Downloads
220
Categories
Other, Developer Tools

- Generates MCP-compatible server code from YAML definitions
- Generates client libraries for easy service consumption
- Creates handler stubs for implementing tool functionality
- Organizes code by service in dedicated directories

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name automcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via `pip install naptha-automcp

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "automcp": {
            "automcp": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "automcp": {
        "command": "uv",
        "args": [
            "venv"
        ]
    }
}

automcp

🚀 Overview

automcp allows you to easily convert tools, agents and orchestrators from existing agent frameworks into MCP servers, that can then be accessed by standardized interfaces via clients like Cursor and Claude Desktop.

We currently support deployment of agents, tools, and orchestrators as MCP servers for the following agent frameworks:

1. CrewAI
2. LangGraph
3. Llama Index
4. OpenAI Agents SDK
5. Pydantic AI
6. mcp-agent

🔧 Installation

Install from PyPI:

```bash

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