Code2Flow MCP 服务器

what is Code2Flow MCP Server? Code2Flow MCP Server is a project that wraps the code2flow command-line tool into an MCP (Model Context Protocol) server, allowing AI applications to generate and access code call graphs through a standardized MCP protocol. how to use Code2Flow MCP Server? To use the Code2Flow MCP Server, clone the repository, set up a virtual environment, install dependencies, and run the server using Python. You can also use MCP tools to interact with the server. key features of Code2Flow MCP Server? Analyzes source code and generates call graphs Supports multiple programming languages (Python, JavaScript, Ruby, PHP) Provides services via MCP protocol for easy integration with AI applications Outputs images in PNG format Includes version checking and code complexity analysis features use cases of Code2Flow MCP Server? Generating call graphs for codebases in various programming languages. Analyzing code complexity to improve code quality. Integrating with AI applications for enhanced code understanding. FAQ from Code2Flow MCP Server? What programming languages does Code2Flow MCP Server support? It supports Python, JavaScript, Ruby, and PHP. How do I install Code2Flow MCP Server? Clone the repository, create a virtual environment, install dependencies, and run the server. Can I use it with AI applications? Yes! It is designed for easy integration with AI applications through the MCP protocol.

As an MCP (Model Context Protocol) server, Code2Flow MCP 服务器 enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Code2Flow MCP Server, clone the repository, set up a virtual environment, install dependencies, and run the server using Python. You can also use MCP tools to interact with the server. key features of Code2Flow MCP Server? Analyzes source code and generates call graphs Supports multiple programming languages (Python, JavaScript, Ruby, PHP) Provides services via MCP protocol for easy integration with AI applications Outputs images in PNG format Includes version checking and code complexity analysis features use cases of Code2Flow MCP Server? Generating call graphs for codebases in various programming languages. Analyzing code complexity to improve code quality. Integrating with AI applications for enhanced code understanding. FAQ from Code2Flow MCP Server? What programming languages does Code2Flow MCP Server support? It supports Python, JavaScript, Ruby, and PHP. How do I install Code2Flow MCP Server? Clone the repository, create a virtual environment, install dependencies, and run the server. Can I use it with AI applications? Yes! It is designed for easy integration with AI applications through the MCP protocol.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.