Mcp Claude Code

Created bySDGLBLSDGLBL

MCP implementation of Claude Code capabilities and more

Overview

What is MCP Claude Code?

MCP Claude Code is an innovative implementation designed to harness the capabilities of Claude, a powerful AI model. This repository serves as a platform for developers and enthusiasts to explore, contribute, and enhance the functionalities of Claude through collaborative coding efforts. The project aims to provide a robust framework that integrates Claude's capabilities into various applications, making it easier for users to leverage AI in their projects.

Features of MCP Claude Code

  • AI Integration: Seamlessly integrates Claude's AI capabilities into applications, enabling advanced functionalities such as natural language processing and data analysis.
  • Open Source: The project is publicly available, encouraging collaboration and contributions from developers worldwide.
  • User-Friendly Documentation: Comprehensive guides and documentation are provided to assist users in understanding and utilizing the features effectively.
  • Community Support: A vibrant community of developers and users who share insights, troubleshoot issues, and contribute to the project's growth.
  • Regular Updates: The repository is actively maintained, with regular updates that enhance performance and introduce new features.

How to Get Started with MCP Claude Code

  1. Clone the Repository: Begin by cloning the repository to your local machine using the command:

    git clone https://github.com/SDGLBL/mcp-claude-code.git
    
  2. Install Dependencies: Navigate to the project directory and install the necessary dependencies. This can typically be done using:

    npm install
    
  3. Explore the Documentation: Familiarize yourself with the provided documentation to understand how to implement and utilize the features of MCP Claude Code.

  4. Contribute: If you have ideas for improvements or new features, feel free to fork the repository, make your changes, and submit a pull request.

  5. Engage with the Community: Join discussions, ask questions, and share your experiences with other users in the community forums or GitHub issues.

Frequently Asked Questions

Q: What programming languages are used in MCP Claude Code?

A: The project primarily utilizes JavaScript and Node.js, but contributions in other languages are welcome as well.

Q: Is there a license for MCP Claude Code?

A: Yes, the project is licensed under the MIT License, allowing for free use, modification, and distribution.

Q: How can I report issues or bugs?

A: You can report issues by navigating to the "Issues" section of the repository and submitting a new issue with detailed information about the problem.

Q: Can I contribute to the project?

A: Absolutely! Contributions are encouraged. You can fork the repository, make your changes, and submit a pull request for review.

Q: Where can I find more information about Claude?

A: For more detailed information about Claude and its capabilities, refer to the official documentation or the project's wiki section.

Details

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.

example

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 with high-performance searching
  • Agent Delegation: Delegate complex tasks to specialized sub-agents that can work concurrently
  • Multiple LLM Provider Support: Configure any LiteLLM-compatible model for agent operations
  • Jupyter Notebook Support: Read and edit Jupyter notebooks with full cell and output handling

Tools Implemented

| Tool | Description | | -- | | | read | Read file contents with line numbers, offset, and limit capabilities | | write | Create or overwrite files | | edit | Make line-based edits to text files | | multi_edit | Make multiple precise text replacements in a single file operation with atomic transactions | | directory_tree | Get a recursive tree view of directories | | grep | Fast pattern search in files with ripgrep integration for best performance (docs) | | content_replace | Replace patterns in file contents | | grep_ast | Search code with AST context showing matches within functions, classes, and other structures | | run_command | Execute shell commands (also used for directory creation, file moving, and directory listing) | | notebook_read | Extract and read source code from all cells in a Jupyter notebook with outputs | | notebook_edit | Edit, insert, or delete cells in a Jupyter notebook | | think | Structured space for complex reasoning and analysis without making changes | | dispatch_agent | Launch one or more agents that can perform tasks using read-only tools concurrently | | batch | Execute multiple tool invocations in parallel or serially in a single request | | todo_write | Create and manage a structured task list | | todo_read | Read a structured task list |

Getting Started

For detailed installation and configuration instructions, please refer to INSTALL.md.

For detailed tutorial of 0.3 version, please refer to TUTORIAL.md

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.

Server Config

{
  "mcpServers": {
    "mcp-claude-code": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/metorial/mcp-container--sdglbl--mcp-claude-code--mcp-claude-code",
        "claudecode"
      ],
      "env": {
        "USEFUL_PROMPTS": "useful-prompts"
      }
    }
  }
}

Project Info

Author
SDGLBL
Created At
Nov 5, 2025
Star
279
Language
Python

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