automcp
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
Jump to
- 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:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
automcpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- 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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