Code2Flow MCP 服务器

Name: Code2Flow MCP 服务器
Author: MCP-Mirror

@MCP-Mirror

代码仓库

关于 Code2Flow MCP 服务器

Mirror of

#code2flow #mcp-server #ai-integration

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

MCP-Mirror

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "code2flow": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Code2Flow MCP 服务器?

Code2Flow MCP 服务器 wraps the code2flow command-line tool into a Model Context Protocol (MCP) server, allowing AI applications to generate and access code call graphs through a standardized MCP interface. It supports Python, JavaScript, Ruby, and PHP source code, outputs call graphs as PNG images, and also provides version checking and code complexity analysis. It is designed for developers and AI agents that need to visualize code structure programmatically.

How to use Code2Flow MCP 服务器?

Install by cloning the repository, creating a virtual environment, and installing dependencies (including code2flow). Start the server directly with python server.py, or use the MCP development tools (mcp dev server.py or mcp install server.py). Configuration for Cursor can be added as a JSON entry specifying the command and path to server.py. Once running, clients can call the available MCP tools (e.g., generate_call_graph) with parameters such as source_paths, language, and optional output_path, exclude, and include patterns.