Code Analysis Server

一个基于MCP协议的代码分析服务器，通过自然语言对话帮助AI模型理解和分析代码库，提供轻量级的代码探索与理解功能。

开发者工具人工智能聊天机器人 #代码分析 #自然语言 #MCP协议 #轻量工具 .Python

评分 : 2.5分

下载量 : 9.3K

更新时间 : 2025-04-23

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What is Code Analysis MCP Server?

The Code Analysis MCP Server allows developers to understand complex codebases through natural language conversations with Claude AI. It helps answer questions about system architecture, data flows, and implementation details without requiring deep manual code inspection.

How to use Code Analysis MCP Server?

After simple setup with Claude Desktop App, you can ask questions about your codebase in plain English. The tool will analyze the repository structure and content to provide meaningful answers about how the system works.

When to use this tool?

Ideal for onboarding new developers, understanding legacy systems, or quickly finding specific implementations in large codebases. Also useful for architectural reviews and documentation generation.

Key Features

Natural Code Exploration

Ask high-level questions about your codebase in plain English without needing to know specific file locations or implementation details

Deep Code Understanding

Extract insights about data models, system architecture and implementation patterns through conversational analysis

Dynamic Analysis

Trace data flows and understand system relationships by following logical paths through the codebase

Advantages

Cost-effective - Uses existing Claude Pro subscription with no additional API costs

Simple setup - Quick to configure with minimal technical requirements

Natural interface - No need to learn complex query syntax or commands

Limitations

Less sophisticated than specialized code analysis tools like Aider

May make more errors in complex analysis compared to professional tools

Limited to high-level understanding rather than detailed code manipulation

Getting Started

Install the server

Clone the repository to your local machine

Install Claude Desktop App

Download and install the official Claude Desktop application

Configure the server

Add the server configuration to Claude Desktop's config file

Restart and verify

Restart Claude Desktop and verify the tool appears in the integrations menu

Example Use Cases

Understanding transaction processing

Analyze how financial transactions are handled throughout the system

Database schema exploration

Identify all database tables involved in a particular feature

Code navigation

Find all implementations of a specific functionality

Frequently Asked Questions

What programming languages does this support?

How large of a codebase can it handle?

Is my code sent to external servers?

Can I edit code through this interface?

Additional Resources

MCP Protocol Documentation

Official documentation for Model Context Protocol

Claude Desktop App

Download page for Claude Desktop application

GitHub Repository

Source code for the Code Analysis MCP Server

🚀 代码分析 MCP 服务器

代码分析 MCP 服务器基于模型上下文协议 (MCP)，能让 AI 模型借助自然语言对话，对代码库展开理解与分析，为开发者探索代码库提供便利。

✨ 主要特性

自然代码探索：可提出高层次问题，快速了解代码库。
```
"系统中集成了哪些不同的支付提供方？"
```
深度代码理解：能够提取数据模型和系统架构的洞察。
```
"从前端到数据库，用户身份验证流程是怎样的？"
```
动态分析：可以跟踪数据流，了解系统关系。
```
"显示我们计算交易费用的所有地方"
```

🚀 快速开始

1. 安装服务器

git clone https://github.com/saiprashanths/code-analysis-mcp.git
cd code-analysis-mcp

2. 安装应用

安装 Claude 桌面应用。有关使用 Claude 桌面应用程序设置 MCP 服务器的更多说明，请参见文档

3. 配置项目

{
  "projectName": "我的项目",
  "description": "这是一个用于代码分析的示例项目。",
  "ignorePaths": ["\\.git", "node_modules"],
  "maxFileSize": "1MB",
  "maxLinesPerFile": "1000"
}

4. 启动服务器

python3 server.py

💻 使用示例

基础用法

项目结构扫描

运行 scan-filesystem 命令以查看文件结构：

node src/cli/scan-filesystem.js --path "src/api"
# 输出:
# 正在扫描目录：src/api
# 发现文件：models.py (2.3KB)
# 发现文件：helpers.js (156KB)
# 扫描完成，发现 2 个文件。

分析特定文件

使用 analyze-file 命令来分析具体文件：

node src/cli/analyze-file.js --path "src/api/models.py"
# 输出:
# 正在分析文件：src/api/models.py
# 文件语言：Python
# 文件大小：2.3KB
# 内容摘要：包含用户和订单模型的定义。

与 Claude 交互

通过以下命令与 Claude 对话：

node src/cli/chat.js --project "我的项目"
# 输入:
# Claude: 欢迎！我是代码分析助手。请问有什么可以帮助你的？
# User: 我们的系统中有哪些主要的支付方式？
# Claude: 根据代码库，我发现了以下支付提供方：Stripe、PayPal 和支付宝。