Code2Flow is a tool that generates code call graphs from your source code and serves them via the Model Context Protocol (MCP), enabling easy integration with AI applications.

What is Model Context Protocol (MCP) and how does Code2Flow use it?

MCP is a standardized protocol for AI application integration. Code2Flow utilizes MCP to provide its services, allowing AI applications to easily access and utilize generated code call graphs.

What output formats are supported by Code2Flow?

Code2Flow outputs call graphs in PNG format for easy visualization and integration.

What kind of analysis does Code2Flow provide?

Besides generating call graphs, Code2Flow offers version checking for the underlying code2flow CLI and code complexity analysis.

Code2Flow

Name: Code2Flow
Author: kursk-ye

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Generates code call graphs and serves them via the Model Context Protocol (MCP) for AI application integration.

This project wraps the code2flow command-line tool as an MCP server, enabling AI applications to generate and access code call graphs through a standardized protocol. It supports multiple programming languages, including Python, JavaScript, Ruby, and PHP. The server offers tools for generating call graphs, checking code2flow version, and analyzing code complexity, making it a valuable asset for AI-driven code analysis and understanding.

主要功能

01Generates code call graphs from source code.

02Provides services through the Model Context Protocol (MCP) for easy AI integration.

03Offers version checking and code complexity analysis.

04Supports multiple programming languages (Python, JavaScript, Ruby, PHP).

05Outputs call graphs in PNG format.

060 GitHub stars

使用案例

01Analyzing code structure and dependencies for large projects.

02Integrating code call graph generation into AI development workflows.

03Automating code understanding and exploration for AI agents.