MCP Claude Code

This project implements functions similar to Claude Code through the MCP protocol, providing tools for code understanding, modification, and command execution. It supports multiple models and Jupyter notebook operations, and has security control and development expansion capabilities.

Developer tools Artificial intelligence chatbots #Code tool #MCP protocol #AI programming #Secure execution .Python

rating : 3 points

downloads : 6.9K

update time : 2025-04-28

Open Site

What is MCP Claude Code?

MCP Claude Code is an intelligent code assistant server that allows Claude AI to directly interact with your code projects. Through the Model Context Protocol, it can read, analyze, and modify code files, helping you develop and maintain projects more efficiently.

How to use MCP Claude Code?

After installation and configuration, you can interact with the server through any MCP-compatible client (such as Claude Desktop). Simply describe your requirements in natural language, and Claude will intelligently handle tasks such as code modification and file operations.

Applicable scenarios

Development scenarios such as code refactoring, bug fixing, project initialization, automated script writing, code documentation generation, and Jupyter notebook editing.

Main features

Code understanding

Intelligently analyze the structure and content of the codebase, and understand the code logic and patterns.

Code modification

Safely perform code editing and refactoring, with permission control and confirmation mechanisms.

Command execution

Run various language scripts and shell commands, supporting error handling and result feedback.

File operations

Manage project files, including operations such as creation, movement, and deletion.

Jupyter notebook support

Fully support the reading, writing, and cell operations of Jupyter notebooks.

Multi-agent collaboration

Multiple sub-agents can be launched to process complex tasks in parallel.

Advantages

Natural language interaction, reducing the technical threshold.

Comprehensive code operation capabilities, from understanding to modification.

Strict security control to protect your code security.

Support for multiple programming languages and development environments.

Scalable architecture, supporting multiple AI models.

Limitations

Initial configuration is required before use.

Complex code logic may require manual verification.

Performance depends on the local hardware environment.

Some edge scenarios may not be supported.

How to use

Install the server

Install the MCP server according to the instructions in the INSTALL.md document.

Configure access permissions

Set the directories and permission levels allowed for access.

Start the server

Run the server and connect to the client.

Interact through the client

Connect to the server using Claude Desktop or other MCP clients.

Usage examples

Code refactoring

Update old API calls to the new version.

Bug fixing

Fix memory leak issues.

Project initialization

Create a new project structure.

Frequently Asked Questions

Is MCP Claude Code secure?

Which programming languages are supported?

How to restrict access to specific directories?

Can multiple projects be processed simultaneously?

Related resources

Installation guide

Detailed installation and configuration instructions.

Usage tips

Examples of prompt words to improve efficiency.

GitHub repository

Project source code.

Model Context Protocol

Official documentation of the MCP protocol.

🚀 MCP Bowie Code Implementation

This project offers a way to implement Bowie Code functionality through the Model Context Protocol (MCP), enabling Bowie to directly execute instructions for modifying and enhancing project files. Leveraging the MCP, this implementation can seamlessly integrate with various MCP clients, including the Bowie desktop version.

🚀 Quick Start

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

You can also read USEFUL_PROMPTS to get some tips on how to use mcp-claude-code.

✨ Features

Code Understanding: Analyze and understand the codebase through file access and pattern search.
Code Modification: Make targeted edits to files with appropriate permission handling.
Enhanced Command Execution: Run commands and scripts, supporting multiple languages, with improved error handling and shell support.
File Operations: Manage files via shell commands with proper security controls.
Code Discovery: Find relevant files and code patterns across the entire project.
Agent Delegation: Delegate complex tasks to specialized sub - agents, which can run in parallel.
Support for Multiple LLM Providers: Configure any LiteLLM - compatible model for agent operations.
Jupyter Notebook Support: Read and edit Jupyter notebooks, handling all cells and outputs.

📚 Documentation

Overview

This project provides an MCP server that implements Bowie Code - like functionality, allowing Bowie to directly execute instructions to modify and improve project files. Through the Model Context Protocol, this implementation can seamlessly integrate with various MCP clients, including the Bowie desktop version.

Implemented Tools

Property	Details
`read_files`	Read one or more files with encoding detection
`write_file`	Create or overwrite a file
`edit_file`	Perform line - based edits on text files
`directory_tree`	Get a recursive tree view of a directory
`get_file_info`	Get metadata about a file or directory
`search_content`	Search for patterns in file contents
`content_replace`	Replace patterns in file contents
`run_command`	Execute shell commands (also used for directory creation, file movement, and directory listing)
`run_script`	Execute a script using a specified interpreter
`script_tool`	Execute a script in a specific programming language
`read_notebook`	Extract and read the source code of all cells in a Jupyter notebook, including outputs
`edit_notebook`	Edit, insert, or delete cells in a Jupyter notebook
`think`	A structured space for complex reasoning and analysis without any changes
`dispatch_agent`	Start one or more agents to perform tasks in parallel using read - only tools