

Automcp
Overview :
automcp is an open-source tool designed to simplify the process of converting various existing agent frameworks (such as CrewAI, LangGraph, etc.) into MCP servers. This allows developers to more easily access these servers through a standardized interface. The tool supports the deployment of multiple agent frameworks and is operated through an easy-to-use CLI interface. Suitable for developers who need to quickly integrate and deploy AI agents, it's free of charge and suitable for individual and team use.
Target Users :
automcp is ideal for developers and teams needing to rapidly develop and deploy AI agents. Whether integrating existing AI tools into projects or building new AI applications, automcp provides strong support. Its streamlined workflow and flexible configuration options allow developers to focus on innovation without worrying about the complexities of the underlying implementation.
Use Cases
Use automcp to convert tools from the CrewAI framework into an MCP server for easy integration with other services.
Deploy LangGraph's AI agent via automcp, allowing it to provide services through a standardized interface.
Use automcp to quickly set up an MCP server for Llama Index, helping development teams achieve rapid prototype development.
Features
Supports multiple agent frameworks: Can convert multiple agent frameworks such as CrewAI, LangGraph, Llama Index, etc., into MCP servers.
CLI interface: Provides an easy-to-use command-line tool that simplifies server generation and management.
Rapid deployment: Through a simplified configuration process, developers can quickly start and run MCP servers.
Input mode definition: Allows users to define input modes for easy interaction with agents.
Environment variable configuration: Supports using environment variables to manage sensitive information such as API keys.
Supports multiple transport modes: Can choose STDIO or SSE transport modes, flexibly adjusting according to usage scenarios.
Automatic file generation: Configuration files are automatically generated after running the command, reducing the complexity of manual configuration.
Community support: An open-source project where users can submit issues and contribute code on GitHub.
How to Use
Install automcp: Use the command `pip install naptha-automcp`.
Initialize the project: Run the command `automcp init -f <framework>` in the project directory to generate the MCP server files.
Edit the `run_mcp.py` file: Configure the agent class and input mode as needed.
Install dependencies: Ensure all necessary dependencies are installed.
Run the server: Start the MCP server using `automcp serve -t <transport mode>`.
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