Code2Flow MCP 服务器
Mirror of
MCP-Mirror
README
Code2Flow MCP 服务器
这是一个将 code2flow 命令行工具包装为 MCP (Model Context Protocol) 服务器的项目。它允许 AI 应用程序通过标准化的 MCP 协议生成和访问代码调用图。
功能特点
- 分析源代码并生成调用图
- 支持多种编程语言(Python、JavaScript、Ruby、PHP)
- 通过 MCP 协议提供服务,易于与 AI 应用集成
- 图像以 PNG 格式输出
- 提供版本检查和代码复杂度分析功能
安装要求
- Python 3.7+
- Windows 11 或其他支持的操作系统
- PowerShell 或其他命令行终端
- 已安装 code2flow 命令行工具
安装步骤
- 克隆此仓库
git clone https://github.com/kursk-ye/code2flow-mcp-server.git
cd code2flow-mcp-server
- 创建并激活虚拟环境(推荐)
python -m venv venv
.\venv\Scripts\Activate.ps1 # 在 PowerShell 中
- 安装依赖项
pip install -r requirements.txt
- 安装 code2flow 命令行工具
pip install code2flow
使用方法
直接使用 Python 运行
- 启动 MCP 服务器
python server.py
使用 MCP 工具运行
- 使用 MCP Inspector 工具
mcp dev server.py
- 安装到 Claude Desktop
mcp install server.py
- 添加到 Cursor MCP 配置
"code2flow": {
"command": "cmd",
"args": [
"/c",
"python",
"path/to/server.py"
]
}
可用工具
服务器提供以下 MCP 工具:
generate_call_graph
- 生成代码调用图check_code2flow_version
- 检查 code2flow 版本analyze_code_complexity
- 分析代码复杂度
可用资源
服务器提供以下 MCP 资源:
help://code2flow
- 帮助文档languages://supported
- 支持的语言列表call-graph://图像ID
- 生成的调用图图像
示例(使用 Python MCP 客户端)
import asyncio
from mcp.client import MCPClient
async def main():
# 连接到服务器
client = MCPClient("http://localhost:8000")
# 创建新会话
session = await client.create_session()
# 调用工具生成调用图
result = await session.call_tool("generate_call_graph", {
"source_paths": ["path/to/your/code"],
"language": "python"
})
# 获取资源 ID
print(result)
# 检查code2flow版本
version_info = await session.call_tool("check_code2flow_version")
print(version_info)
# 分析代码复杂度
complexity = await session.call_tool("analyze_code_complexity", {
"source_path": "path/to/your/code",
"language": "python"
})
print(complexity)
if __name__ == "__main__":
asyncio.run(main())
配置选项
生成调用图时支持以下参数:
source_paths
:要分析的源代码文件或目录的路径列表output_path
:(可选)输出文件的路径language
:(可选)源代码语言(python、js、ruby、php)exclude
:(可选)要排除的文件模式列表include
:(可选)要包含的文件模式列表
文件结构
server.py
- 主服务器代码mcp_client_example.py
- 客户端示例代码test_server.py
- 测试代码requirements.txt
- 依赖文件
许可证
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.