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MCP implementation of Claude Code capabilities

Project description

MCP Claude Code

An implementation of Claude Code capabilities using the Model Context Protocol (MCP).

Overview

This project provides an MCP server that implements Claude Code-like functionality, allowing Claude to directly execute instructions for modifying and improving project files. By leveraging the Model Context Protocol, this implementation enables seamless integration with various MCP clients including Claude Desktop.

Features

  • Code Understanding: Analyze and understand codebases through file access and pattern searching
  • Code Modification: Make targeted edits to files with proper permission handling
  • Enhanced Command Execution: Run commands and scripts in various languages with improved error handling and shell support
  • File Operations: Manage files with proper security controls through shell commands
  • Code Discovery: Find relevant files and code patterns across your project
  • Project Analysis: Understand project structure, dependencies, and frameworks

Tools Implemented

Tool Description Permission Required
read_files Read one or multiple files with encoding detection No
write_file Create or overwrite files Yes
edit_file Make line-based edits to text files Yes
directory_tree Get a recursive tree view of directories No
get_file_info Get metadata about a file or directory No
search_content Search for patterns in file contents No
content_replace Replace patterns in file contents Yes
run_command Execute shell commands (also used for directory creation, file moving, and directory listing) Yes
run_script Execute scripts with specified interpreters Yes
script_tool Execute scripts in specific programming languages Yes
project_analyze_tool Analyze project structure and dependencies No

Getting Started

Installation

The project requires Python 3.13 or newer.

Option 1: Install from PyPI (Recommended)

You can install MCP Claude Code directly from PyPI:

# Create a virtual environment (recommended)
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install with pip
pip install mcp-claude-code

# Or with uv
uv pip install mcp-claude-code

To install optional extras:

# For performance enhancements
pip install mcp-claude-code[performance]

Option 2: Install from Source

If you prefer to install from source:

# Clone the repository
git clone https://github.com/SDGLBL/mcp-claude-code.git
cd mcp-claude-code

# Create a virtual environment first
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install using make
make install

The Makefile will automatically detect if you have uv installed and use it; otherwise, it will fall back to pip.

If you encounter an error about no virtual environment found:

error: No virtual environment found; run `uv venv` to create an environment, or pass `--system` to install into a non-virtual environment

Make sure to create and activate a virtual environment before running make install.

For Development

If you're developing or contributing to the project, you can install additional dependencies:

make install-dev  # Install development dependencies
make install-test  # Install testing dependencies

Testing

The project includes a comprehensive test suite. To run the tests:

# Run all tests
make test

# Run tests with coverage report
make test-cov

The Makefile will automatically create and use a virtual environment (.venv) if one doesn't exist. It's designed to work on both Unix-based systems (macOS, Linux) and Windows environments.

Usage

Configuring Claude Desktop

After installing mcp-claude-code, configure Claude Desktop to use this server by adding it to your Claude Desktop config file:

When installed from PyPI:
{
  "mcpServers": {
    "claude-code": {
      "command": "claudecode",
      "args": [
        "--allow-path",
        "/path/to/your/project"
      ]
    }
  }
}
When installed from source:
{
  "mcpServers": {
    "claude-code": {
      "command": "python",
      "args": [
        "-m",
        "mcp_claude_code.server",
        "--allow-path",
        "/path/to/your/project"
      ]
    }
  }
}

Make sure to replace /path/to/your/project with the actual path to the project you want Claude to have access to.

Advanced Configuration Options

You can customize the server with additional options:

{
  "mcpServers": {
    "claude-code": {
      "command": "claudecode",  // or "python -m mcp_claude_code.server" if installed from source
      "args": [
        "--allow-path",
        "/path/to/project",
        "--name",
        "custom-claude-code",
        "--transport",
        "stdio"
      ]
    }
  }
}

Configuring Claude Desktop System Prompt

To get the best experience with Claude Code, you need to add the provided system prompt to your Claude Desktop client. This system prompt guides Claude through a structured workflow for code modifications and project management.

Follow these steps:

  1. Locate the system prompt file in this repository at doc/system_prompt.md
  2. Open your Claude Desktop client settings
  3. Navigate to the system prompt configuration section
  4. Copy the contents of system_prompt.md into your Claude Desktop system prompt
  5. Replace {{project_path}} with the actual path to your project

The system prompt provides Claude with:

  • A structured workflow for analyzing and modifying code
  • Best practices for project exploration and analysis
  • Guidelines for development, refactoring, and quality assurance
  • Special formatting instructions for mathematical content

This step is crucial as it enables Claude to follow a consistent approach when helping you with code modifications.

Security

This implementation follows best practices for securing access to your filesystem:

  • Permission prompts for file modifications and command execution
  • Restricted access to specified directories only
  • Input validation and sanitization
  • Proper error handling and reporting

Development

To contribute to this project:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

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