Deskaid
codemcp is a tool that transforms Claude Desktop into a pair - programming assistant, allowing users to directly let Claude implement features, fix errors, and refactor code in the local codebase while ensuring security through Git version control.
2 points
6.2K

What is the Model Context Protocol (MCP) Server?

The MCP server is a powerful tool that enables functions such as code editing, feature development, error fixing, and code refactoring through interaction with the AI assistant. With MCP, you can conduct efficient development directly in your local environment without frequently copying and pasting code.

How to use the MCP server?

First, you need to install the necessary dependencies, then configure the MCP server according to your operating system. Next, initialize the project and start a conversation with the AI assistant to gradually complete code modifications.

Applicable scenarios

The MCP server is very suitable for developers who need to frequently adjust, test, and optimize code, especially in a team collaboration development environment.

Main Features

Local code editing
Allows you to modify code directly on your local computer without leaving the development environment.
Version control support
Ensures that each change generates a Git commit for easy rollback and review.
Multi - platform compatibility
Supports multiple operating systems, including macOS, Linux, and Windows.
Cost - effective
Based on the Claude Pro subscription, avoiding high API fees.
Advantages
Low cost and stable and reliable
Provides a secure way to modify code
Easy to integrate into existing workflows
Limitations
May be affected by time limits
Initial setup may be slightly complicated

How to Use

Install dependencies
Ensure that Git and Python 3.12+ are installed.
Configure the MCP server
Edit the configuration file claude_desktop_config.json to add MCP server information.
Initialize the project
Create a new project in Claude Desktop and specify the project directory.
Start a conversation
Interact with the AI assistant to gradually complete code modifications.

Usage Examples

Add a new feature
Request the AI assistant to implement a specific feature.
Fix errors
Instruct the AI assistant to locate and resolve errors in the code.
Code refactoring
Ask the AI assistant to optimize the code structure.

Frequently Asked Questions

How to solve problems encountered during installation?
Why does a time limit warning appear?
How to upgrade the codemcp version?

Related Resources

Official documentation
Detailed usage guides and technical documentation.
GitHub code repository
Open - source code library. Contributions are welcome.
Example projects
Provides some practical usage cases.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "codemcp": {
      "command": "/Users/<USERNAME>/.local/bin/uvx",
      "args": [
        "--from",
        "git+https://github.com/ezyang/codemcp@prod",
        "codemcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "codemcp": {
      "command": "C:\\Users\\<USERNAME>\\.local\\bin\\uvx.exe",
      "args": [
        "--from",
        "git+https://github.com/ezyang/codemcp@prod",
        "codemcp"
      ]
    }
  }
}

{
	"mcpServers": {
		"codemcp": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"/home/NameOfWSLUser/.local/bin/uvx --from git+https://github.com/ezyang/codemcp@prod codemcp"
			]
		}
	}
}

{
    "mcpServers": {
         "codemcp": {
               "command": "python",
               "args": ["-m", "codemcp"]
            }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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