Code Graph MCP Server

CodeGraphMCP服务器

无需配置的轻量级高性能源代码分析MCP服务器

     

🇯🇵 日本语版README

概述

CodeGraphMCPServer是一个了解代码库结构并提供GraphRAG（图形检索增强生成）功能的MCP服务器。凭借不需要外部数据库的自包含架构，它能够从MCP兼容的AI工具（GitHub Copilot、Claude Desktop、Cursor等）中实现结构理解和高效的代码完成。

🧠 GraphRAG功能

• 社区发现：使用Louvain算法自动对代码模块进行聚类
• LLM集成：支持OpenAI/Anthropic/LLocal LLM的多提供商设计
• 全局搜索：使用社区摘要进行代码库范围内的理解
• 本地搜索：从实体邻域检索上下文

✨ 特性

需求

• Python 3.11+
• MCP兼容客户端（GitHub Copilot、Claude Desktop、Cursor、Windsurf）

安装

使用pip安装

pip install codegraph-mcp-server

从源代码安装（用于开发）

git clone https://github.com/nahisaho/CodeGraphMCPServer.git
cd CodeGraphMCPServer
python -m venv .venv
source .venv/bin/activate  # Linux/macOS
pip install -e ".[dev]"

快速开始

1.为存储库建立索引

# Full index
codegraph-mcp index /path/to/repository --full

# Incremental index (default)
codegraph-mcp index /path/to/repository

# Auto re-index with file watching (v0.7.0 NEW)
codegraph-mcp watch /path/to/repository
codegraph-mcp watch /path/to/repository --debounce 2.0  # 2 second debounce
codegraph-mcp watch /path/to/repository --community     # Community detection after re-index

输出示例：

Indexed 16 entities, 37 relations in 0.81s

2.检查统计数据

codegraph-mcp stats /path/to/repository

输出示例：

Repository Statistics
=====================
Repository: /path/to/repository

Entities: 16
Relations: 37
Communities: 0
Files: 1

Entities by type:
  - class: 2
  - function: 2
  - method: 11
  - module: 1

3.搜索代码

codegraph-mcp query "Calculator" --repo /path/to/repository

4.作为MCP服务器启动

# stdio transport (default)
codegraph-mcp serve --repo /path/to/repository

# SSE transport
codegraph-mcp start --repo /path/to/repository --port 8080

MCP客户端配置

克劳德桌面版

~/.config/claude/claude_desktop_config.json:

{
  "mcpServers": {
    "codegraph": {
      "command": "codegraph-mcp",
      "args": ["serve", "--repo", "/path/to/your/project"]
    }
  }
}

克劳德代码

# stdio transport
claude mcp add codegraph -- codegraph-mcp serve --repo /path/to/project

# HTTP transport (SSE server)
codegraph-mcp start --port 8080  # In another terminal
claude mcp add --transport http codegraph http://0.0.0.0:8080

VS代码（GitHub副本）

.vscode/settings.json:

{
  "mcp.servers": {
    "codegraph": {
      "command": "codegraph-mcp",
      "args": ["serve", "--repo", "${workspaceFolder}"]
    }
  }
}

光标

~/.cursor/mcp.json:

{
  "mcpServers": {
    "codegraph": {
      "command": "codegraph-mcp",
      "args": ["serve", "--repo", "/path/to/your/project"]
    }
  }
}

🛠 MCP工具（14）

图形查询工具

代码检索工具

GraphRAG工具

管理工具

📚 MCP资源（4）

💬 MCP提示（6）

使用示例

与AI助手对话

You: What are the dependencies of the UserService class?

AI: [Using find_dependencies tool]
    UserService depends on:
    - DatabaseConnection (database.py)
    - Logger (utils/logging.py)
    - UserRepository (repositories/user.py)

You: What would be affected if I modify the authenticate method?

AI: [Using find_callers tool]
    Callers of authenticate:
    - LoginController.login() (controllers/auth.py:45)
    - APIMiddleware.verify_token() (middleware/api.py:23)
    - TestUserService.test_auth() (tests/test_user.py:78)

You: Explain the main components of this project

AI: [Using global_search tool]
    [Using explain_codebase prompt]
    
    This project uses a 3-tier architecture:
    1. Controllers layer: HTTP request handling
    2. Services layer: Business logic
    3. Repositories layer: Data access

发展

运行测试

# Run all tests
pytest

# With coverage
pytest --cov=src/codegraph_mcp --cov-report=html

# Specific tests
pytest tests/unit/test_parser.py -v

棉绒和格式

# Lint with Ruff
ruff check src tests

# Format with Ruff
ruff format src tests

# Type check with MyPy
mypy src

建筑

src/codegraph_mcp/
├── __init__.py          # Package initialization
├── __main__.py          # CLI entry point
├── server.py            # MCP server
├── config.py            # Configuration management
├── core/                # Core logic
│   ├── parser.py        # Tree-sitter AST parser
│   ├── graph.py         # NetworkX graph engine
│   ├── indexer.py       # Repository indexer
│   ├── community.py     # Community detection (Louvain)
│   ├── semantic.py      # Semantic analysis
│   ├── llm.py           # LLM integration (OpenAI/Anthropic/Local)
│   └── graphrag.py      # GraphRAG search engine
├── storage/             # Storage layer
│   ├── sqlite.py        # SQLite persistence
│   ├── cache.py         # File cache
│   └── vectors.py       # Vector store
├── mcp/                 # MCP interface
│   ├── tools.py         # 14 MCP Tools
│   ├── resources.py     # 4 MCP Resources
│   └── prompts.py       # 6 MCP Prompts
└── languages/           # Language support (12 languages)
    ├── python.py        # Python extractor
    ├── typescript.py    # TypeScript extractor
    ├── javascript.py    # JavaScript extractor
    ├── rust.py          # Rust extractor
    ├── go.py            # Go extractor
    ├── java.py          # Java extractor
    ├── php.py           # PHP extractor
    ├── csharp.py        # C# extractor
    ├── c.py             # C extractor
    ├── cpp.py           # C++ extractor
    ├── hcl.py           # HCL (Terraform) extractor
    └── ruby.py          # Ruby extractor

演出

测量值（v0.3.0）

目标值

许可证

MIT许可证-请参阅 许可证

致谢

• 模型上下文协议 -MCP规范
• 树保姆 -AST分析
• 网络X -图形算法
• 微软GraphRAG -GraphRAG概念

相关链接

• MCP Python SDK
• MCP规范