RepoMix MCP server

Repomix is a powerful tool that packages your codebase into a single AI-friendly file, making it easier to feed your code to Large Language Models like Claude, ChatGPT, or other AI assistants. This formatted output helps AI tools better understand and analyze your code structure.

Installation

You can use Repomix without installation using npx:

npx repomix@latest

Or install it globally for repeated use:

# Using npm
npm install -g repomix

# Using yarn
yarn global add repomix

# Using bun
bun add -g repomix

# Using Homebrew (macOS/Linux)
brew install repomix

Basic Usage

Run Repomix in your project directory to generate an AI-friendly file:

repomix

This creates a repomix-output.xml file containing your entire repository in an AI-friendly format.

Process Specific Files

You can target specific files or directories using glob patterns:

# Process specific directory
repomix path/to/directory

# Include only certain file types
repomix --include "src/**/*.ts,**/*.md"

# Exclude specific files
repomix --ignore "**/*.log,tmp/"

Process Remote Repositories

Analyze a GitHub repository without cloning it manually:

# Using full URL
repomix --remote https://github.com/yamadashy/repomix

# Using GitHub shorthand
repomix --remote yamadashy/repomix

# Specify branch or commit
repomix --remote yamadashy/repomix --remote-branch main

Additional Options

Optimize your output with various options:

# Compress output (reduce token count)
repomix --compress

# Change output format
repomix --style markdown

# Add git logs for context
repomix --include-logs

# Show token count breakdown
repomix --token-count-tree

Docker Usage

You can also run Repomix in a Docker container:

# Process current directory
docker run -v .:/app -it --rm ghcr.io/yamadashy/repomix

# Process remote repository
docker run -v ./output:/app -it --rm ghcr.io/yamadashy/repomix --remote yamadashy/repomix

Web Interface and Browser Extensions

For a graphical interface, visit repomix.com.

Browser extensions are also available:

• Chrome: Chrome Web Store
• Firefox: Firefox Add-ons

Configuration

Create a configuration file to customize Repomix:

repomix --init

This generates a repomix.config.json file with options for controlling:

• Files to include/exclude
• Output format and style
• Token optimization options
• Security checks
• Git history inclusion

Using with AI Tools

After generating your packed file, you can upload it to AI assistants with prompts like:

This file contains all the files in the repository combined into one.
Please review the code structure and suggest improvements.

Example AI tasks:

• Code review and refactoring
• Documentation generation
• Test case development
• Architecture assessment
• Security analysis

MCP Server Integration

Repomix supports the Model Context Protocol (MCP), allowing AI assistants to directly interact with your codebase:

repomix --mcp

To configure Repomix as an MCP server in VS Code, use:

code --add-mcp '{"name":"repomix","command":"npx","args":["-y","repomix","--mcp"]}'

This allows AI assistants to package your code without manual file preparation.

Security Features

Repomix includes built-in security checks to prevent sensitive information from being included in the output:

# Run with security checks (default)
repomix

# Disable security checks (use with caution)
repomix --no-security-check

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "repomix" '{"command":"npx","args":["-y","repomix","--mcp"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "repomix": {
            "command": "npx",
            "args": [
                "-y",
                "repomix",
                "--mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "repomix": {
            "command": "npx",
            "args": [
                "-y",
                "repomix",
                "--mcp"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect