Code2Flow MCP Server
by kursk-ye
This project wraps the code2flow command-line tool as an MCP (Model Context Protocol) server. It allows AI applications to generate and access code call graphs through a standardized MCP protocol.
Last updated: N/A
What is Code2Flow MCP Server?
The Code2Flow MCP Server is a server that exposes the functionality of the code2flow command-line tool via the Model Context Protocol (MCP). It enables AI applications to generate and access code call graphs in a standardized way.
How to use Code2Flow MCP Server?
To use the server, first clone the repository, install the dependencies (including code2flow), and then run the server.py script. You can interact with the server using an MCP client, such as the provided Python example, or integrate it with tools like Claude Desktop or Cursor.
Key features of Code2Flow MCP Server
Generates code call graphs
Supports multiple programming languages (Python, JavaScript, Ruby, PHP)
Provides service through the MCP protocol
Outputs images in PNG format
Offers version checking and code complexity analysis
Use cases of Code2Flow MCP Server
Integrating code analysis into AI-powered code editors
Automated code understanding for AI models
Generating visualizations of code structure for debugging
Analyzing code dependencies for refactoring
Providing context to AI coding assistants
FAQ from Code2Flow MCP Server
What is code2flow?
What is code2flow?
code2flow is a command-line tool that generates call graphs from source code.
What is MCP?
What is MCP?
MCP (Model Context Protocol) is a standardized protocol for AI applications to access and interact with tools and services.
What programming languages are supported?
What programming languages are supported?
The server supports Python, JavaScript, Ruby, and PHP.
How do I install the server?
How do I install the server?
Clone the repository, create a virtual environment, install the dependencies, and then install code2flow.
How do I generate a call graph?
How do I generate a call graph?
Use an MCP client to call the generate_call_graph tool, providing the source code path and language as parameters.