Which integrations are available for this server?

Provides regex-based code searching and structural analysis for C and C++ source and header files. Supports searching for patterns and analyzing the code structure and definitions of JavaScript and JSX files. Connects with OpenAI's API to facilitate AI-powered code updates and support for thinking-based models like o1. Enables deep code analysis, structure identification, and symbol definition searching for Python source files. Facilitates file operations and structural code analysis for Ruby source files. Supports finding symbol definitions and analyzing code structures within Rust programming projects. Allows for the analysis of TypeScript code structures and searching for symbol definitions within TS and TSX files.

How do I use Code Analysis MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Code Analysis MCP Server find where the class 'UserModel' is defined" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Code Analysis MCP Server

A modular MCP (Model Context Protocol) server for code analysis with file operations, code search, and structure analysis capabilities.

Features

📁 File Operations

read_file: Read contents of any code file
list_files: List files in directories with pattern matching
file_info: Get detailed file information (size, type, line count)

🔍 Code Search

search_code: Search for patterns in code using regex
find_definition: Find symbol definitions (functions, classes, variables)

📊 Code Analysis

analyze_structure: Analyze code structure (imports, classes, functions)

Installation

# Clone the repository git clone https://github.com/yourusername/code-mcp.git cd code-mcp # Create virtual environment python -m venv venv # Activate environment source venv/bin/activate # On Unix/macOS venv\Scripts\activate # On Windows # Install dependencies pip install -r requirements.txt

Usage

1. With Claude Desktop

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "code-analyzer": { "command": "python", "args": ["/absolute/path/to/code-mcp/server.py"] } } }

Then restart Claude Desktop.

2. With Continue.dev (VS Code)

Add to your Continue configuration:

{ "models": [...], "mcpServers": { "code-analyzer": { "command": "python", "args": ["/absolute/path/to/code-mcp/server.py"] } } }

3. With Other MCP Clients

Any MCP-compatible client can use this server by pointing to the server.py file.

Available Tools

📖 read_file

Read the contents of a file.

{ "tool": "read_file", "arguments": { "path": "src/main.py", "encoding": "utf-8" // optional, default: utf-8 } }

📂 list_files

List files in a directory with optional pattern matching.

{ "tool": "list_files", "arguments": { "directory": "./src", // optional, default: current dir "pattern": "*.py", // optional, default: * "recursive": true // optional, default: false } }

ℹ️ file_info

Get detailed information about a file.

{ "tool": "file_info", "arguments": { "path": "src/main.py" } }

🔍 search_code

Search for patterns in code files using regex.

{ "tool": "search_code", "arguments": { "pattern": "def.*test", // regex pattern "directory": "./src", // optional "file_pattern": "*.py", // optional "case_sensitive": false // optional, default: true } }

🎯 find_definition

Find where a symbol is defined.

{ "tool": "find_definition", "arguments": { "symbol": "MyClass", "directory": "./src", // optional "language": "python" // optional: python, javascript } }

🏗️ analyze_structure

Analyze the structure of a code file.

{ "tool": "analyze_structure", "arguments": { "path": "src/main.py", "include_docstrings": true // optional, default: false } }

🤖 update_with_architecture

Compare old and new architecture versions and intelligently update the new file.

{ "tool": "update_with_architecture", "arguments": { "old_file": "src/legacy/module.py", // Reference file (old architecture) "new_file": "src/modern/module.py", // Target file (will be updated) "backup": true // optional, default: true } }

AI Configuration

To use the AI-powered tools, you need to configure your API keys:

Copy .env.example to .env:
cp .env.example .env
Edit .env and add your API keys:
AI_PROVIDER=openai OPENAI_API_KEY=your-openai-api-key # or AI_PROVIDER=anthropic ANTHROPIC_API_KEY=your-anthropic-api-key

Thinking Models Support

The tool automatically handles "thinking" models (like o1, o1-preview) that include reasoning in their responses:

Thinking sections are automatically removed
Only the actual code is extracted
Supports various thinking formats: <think>, [thinking], etc.

Install AI dependencies:
pip install openai anthropic
Test LLM connectivity:
./test_llm.sh # or python tests/test_llm.py

Examples

In Claude Desktop

After configuring, you can ask Claude:

"Read the file src/main.py"
"Search for all functions that contain 'test' in the src directory"
"Find where the class 'UserModel' is defined"
"Analyze the structure of app.py"
"List all Python files in the project"

Programmatic Usage

# Example of calling tools programmatically import asyncio from mcp import Client async def main(): client = Client() # Read a file result = await client.call_tool("read_file", { "path": "src/main.py" }) # Search for patterns result = await client.call_tool("search_code", { "pattern": "TODO|FIXME", "directory": "./", "recursive": True }) # Analyze structure result = await client.call_tool("analyze_structure", { "path": "src/main.py", "include_docstrings": True }) asyncio.run(main())

Architecture

The server follows a modular architecture:

├── server.py # Main MCP server ├── tools/ # Tool definitions │ ├── file_tools.py # File operations │ └── code_tools.py # Code analysis tools ├── handlers/ # Request handlers │ ├── file_handler.py │ ├── search_handler.py │ └── analyze_handler.py └── core/ # Core services ├── file_system.py # File system operations └── code_parser.py # Code parsing logic

Supported Languages

Python (.py)
JavaScript/TypeScript (.js, .ts, .jsx, .tsx)
Java (.java)
C/C++ (.c, .cpp, .h)
Go (.go)
Rust (.rs)
Ruby (.rb)
And more...

Security

File access is restricted to prevent directory traversal
Large files are handled efficiently with streaming
Search results are limited to prevent memory issues

Contributing

Feel free to submit issues and enhancement requests!

License

MIT

Code Analysis MCP Server

Code Analysis MCP Server

Features

📁 File Operations

🔍 Code Search

📊 Code Analysis

Installation

Usage

1. With Claude Desktop

2. With Continue.dev (VS Code)

3. With Other MCP Clients

Available Tools

📖 read_file

📂 list_files

ℹ️ file_info

🔍 search_code

🎯 find_definition

🏗️ analyze_structure

🤖 update_with_architecture

AI Configuration

Thinking Models Support

Examples

In Claude Desktop

Programmatic Usage

Architecture

Supported Languages

Security

Contributing

License

Resources

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