MCP Claude Code

Claude code editing and execution service implemented based on the MCP protocol

Developer tools Artificial intelligence chatbots #Code editing #Intelligent agent #Development tool #MCP service .Python

rating : 3 points

downloads : 147

update time : 2025-04-23

What is MCP Claude Code?

MCP Claude Code is a server based on the Model Context Protocol (MCP) that enables Claude AI to directly interact with your codebase. With this tool, Claude can understand, modify, and execute your project code, working like an experienced development assistant.

How to use MCP Claude Code?

After installing the MCP server, you can interact with it through Claude Desktop or other MCP clients. Claude will request permission before performing code - related operations, such as file editing and command execution.

Applicable scenarios

Suitable for development scenarios such as code review, automated refactoring, rapid prototyping, technical documentation generation, and code problem troubleshooting. Particularly suitable for situations where AI assistance is needed to complete repetitive coding tasks.

Main features

Code understandingClaude can analyze your codebase and understand the code structure and functionality

Code modificationAfter obtaining permission, Claude can directly modify your code files

Command executionRun various language scripts and shell commands, supporting error handling

File operationsManage project files, including creation, moving, deletion, and other operations

Jupyter Notebook supportFully read and write Jupyter notebooks, including cell and output processing

Multi - agent collaborationCan start multiple sub - agents to process complex tasks in parallel

Advantages and limitations

Advantages

Seamlessly integrate into the development workflow

Powerful code understanding and modification capabilities

Support multiple programming languages and scripts

Strict security control mechanism

Scalable architecture design

Limitations

Explicit authorization is required to modify files

Complex tasks may require multiple interactions

Performance depends on the underlying model capabilities

Manual intervention may be required in some edge cases

How to use

Installation

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

Configuration

Configure server parameters and access permissions

Startup

Run the server and connect to your MCP client

Interaction

Start using through Claude or other MCP clients

Usage examples

Code refactoringLet Claude help refactor a long function

Error fixingAutomatically find and fix common code errors

Documentation generationAutomatically generate documentation for code

Frequently Asked Questions

Is MCP Claude Code secure?

Which programming languages are supported?

How to limit Claude's access scope?

How to troubleshoot errors?

Related resources

Installation guide

Detailed installation and configuration instructions

Useful tips

Usage tips and example prompts

GitHub repository

Project source code

MCP protocol documentation

Official documentation of the Model Context Protocol

🚀 MCP Coding Protocol

An implementation similar to Claude's coding functionality using the Model Context Protocol (MCP).

🚀 Quick Start

This project offers an MCP-based server that mimics Claude's coding capabilities. It enables Claude to directly execute instructions for modifying and enhancing project files. By leveraging the Model Context Protocol, this implementation can seamlessly integrate with various MCP clients, including the Claude desktop application.

Example

✨ Features

Code Understanding: Analyze and understand codebases through file access and pattern search.
Code Modification: Edit target files with appropriate permission handling.
Enhanced Command Execution: Run commands and scripts in various languages with improved error handling and shell support.
File Operations: Manage files via shell commands with proper security controls.
Code Discovery: Locate relevant files and code patterns across the entire project.
Agent Delegation: Delegate complex tasks to specialized sub - agents that can work in parallel.
Support for Multiple LLM Providers: Configure any LiteLLM - compatible model for agent operations.
Jupyter Notebook Support: Read and edit Jupyter notebooks with full cell and output handling.

💻 Usage Examples

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`	Retrieve 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 creating directories, moving files, and listing directories).
`run_script`	Execute a script using a specified interpreter.
`script_tool`	Execute scripts in a specific programming language.
`read_notebook`	Extract and read the source code from all cells of 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 making any changes.
`dispatch_agent`	Start one or more agents that can perform tasks in parallel using read - only tools.