Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard that enables AI applications to securely connect to external data sources and tools. Codegen provides an MCP server that allows AI editors like Cursor to access Codegen’s powerful codemod generation and API capabilities directly within your development workflow.

What is MCP?

MCP acts as a bridge between AI assistants and external tools, allowing them to:

  • Access external data sources and APIs
  • Execute tools and commands safely
  • Provide rich context to improve AI responses
  • Maintain security through standardized protocols

With Codegen’s MCP integration, your AI editor can:

  • Generate codemods using the Codegen CLI
  • Create and manage agent runs
  • Access organization and user information
  • Get expert guidance on Codegen best practices
  • Streamline your code transformation workflows

Prerequisites

Before setting up the MCP server, ensure you have:

  1. Codegen CLI installed: Install via pip or your preferred package manager

    pip install codegen
    
  2. Authentication: Set up your Codegen API credentials

    # Set your API key as an environment variable
    export CODEGEN_API_KEY="your-api-key-here"
    
    # Or initialize a Codegen project
    codegen init
    
  3. AI Editor with MCP support: Currently supported editors include:

Quick Start

1. Start the MCP Server

The easiest way to start the Codegen MCP server is using the built-in CLI command:

codegen mcp

This starts the server with default settings (stdio transport). The server will display:

🚀 Starting Codegen MCP server...
📡 Using stdio transport

For additional options:

# Start with HTTP transport on a specific port
codegen mcp --transport http --port 8080

# Start with custom host
codegen mcp --host 0.0.0.0 --port 3000

# View all available options
codegen mcp --help

Note: HTTP transport is currently not fully implemented and will fall back to stdio transport.

2. Configure Your AI Editor

The configuration depends on your AI editor. See the sections below for specific setup instructions.

Cursor Configuration

Cursor provides the most seamless MCP integration experience. Follow these steps:

  1. Open Cursor Settings

    • Press Cmd/Ctrl + , to open settings
    • Navigate to FeaturesModel Context Protocol
  2. Add New MCP Server

    • Click “Add Server”
    • Fill in the following details:
    Name: Codegen
    Command: codegen mcp
    
  3. Save and Restart

    • Click “Save”
    • Restart Cursor to activate the MCP server

Method 2: Manual Configuration File

If you prefer manual configuration, you can edit Cursor’s MCP configuration file directly:

  1. Locate the configuration file:

    • macOS: ~/Library/Application Support/Cursor/User/globalStorage/mcp.json
    • Windows: %APPDATA%\Cursor\User\globalStorage\mcp.json
    • Linux: ~/.config/Cursor/User/globalStorage/mcp.json
  2. Add the Codegen MCP server:

    {
      "mcpServers": {
        "codegen": {
          "command": "codegen",
          "args": ["mcp"],
          "env": {
            "CODEGEN_API_KEY": "your-api-key-here"
          }
        }
      }
    }
    
  3. Restart Cursor to load the new configuration.

Verification

To verify the MCP server is working in Cursor:

  1. Open a new chat in Cursor
  2. Look for “Available Tools” in the chat interface
  3. You should see Codegen MCP tools listed, such as:
    • generate_codemod
    • create_agent_run
    • get_organizations
    • get_users

Alternative Editors

Claude Desktop

For Claude Desktop, add this configuration to your claude_desktop_config.json:

{
  "mcpServers": {
    "codegen": {
      "command": "codegen",
      "args": ["mcp"],
      "env": {
        "CODEGEN_API_KEY": "your-api-key-here"
      }
    }
  }
}

Configuration file locations:

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

Cline (VS Code Extension)

For the Cline VS Code extension, add this to your MCP settings:

{
  "mcpServers": {
    "codegen": {
      "command": "codegen",
      "args": ["mcp"],
      "env": {
        "CODEGEN_API_KEY": "your-api-key-here"
      }
    }
  }
}

Available Tools

Once configured, the Codegen MCP server provides these tools to your AI editor:

generate_codemod

Generate a new codemod for a specific task and codebase.

Parameters:

  • title: The title of the codemod (hyphenated format)
  • task: Description of what the codemod should accomplish
  • codebase_path: Absolute path to your codebase directory

Example usage in chat:

Generate a codemod called "add-logging" that adds console.log statements to all functions in my React components at /path/to/my/project

What it does: Provides instructions to use the Codegen CLI to create a codemod with the specified title and task description.

create_agent_run

Create a new agent run in your Codegen organization.

Parameters:

  • org_id: Your organization ID
  • prompt: The task/prompt for the agent to execute
  • repo_name: Repository name (optional)
  • branch_name: Branch name (optional)

Example usage in chat:

Create an agent run in organization 123 with the prompt "Fix all TypeScript errors in the src directory"

get_agent_run

Get details of a specific agent run.

Parameters:

  • org_id: Organization ID
  • agent_run_id: Agent run ID

Example usage in chat:

Get the status of agent run 456 in organization 123

get_organizations

Get list of organizations you have access to.

Parameters:

  • page: Page number (default: 1)
  • limit: Number of organizations per page (default: 10)

Example usage in chat:

Show me all the organizations I have access to

get_users

Get list of users in an organization.

Parameters:

  • org_id: Organization ID
  • page: Page number (default: 1)
  • limit: Number of users per page (default: 10)

Example usage in chat:

List all users in organization 123

get_user

Get details of a specific user in an organization.

Parameters:

  • org_id: Organization ID
  • user_id: User ID

Example usage in chat:

Get details for user 789 in organization 123

Authentication

The MCP server uses API key authentication. You can provide your API key in several ways:

export CODEGEN_API_KEY="your-api-key-here"

MCP Configuration

Include the API key in your MCP server configuration:

{
  "mcpServers": {
    "codegen": {
      "command": "codegen",
      "args": ["mcp"],
      "env": {
        "CODEGEN_API_KEY": "your-api-key-here"
      }
    }
  }
}

Getting Your API Key

  1. Visit the Codegen dashboard
  2. Navigate to your account settings
  3. Generate or copy your API key
  4. Set it as an environment variable or in your MCP configuration

Troubleshooting

Common Issues

MCP Server Not Starting

  • Verify Codegen is properly installed: codegen --version
  • Check that the codegen mcp command works: codegen mcp --help
  • Ensure your API key is set correctly

Tools Not Appearing in Editor

  • Restart your AI editor after configuration changes
  • Check the MCP server configuration syntax
  • Verify the codegen command is in your system PATH
  • Look for error messages in the editor’s developer console

Authentication Errors

  • Verify your API key is correct and not expired
  • Check that the CODEGEN_API_KEY environment variable is set
  • Ensure you have the necessary permissions in your organization

Permission Errors

  • Ensure the codegen command is executable
  • Check file permissions on configuration files
  • Try running the editor with appropriate permissions

Path Resolution Issues

  • Use absolute paths in configuration when possible
  • Verify the codegen command location: which codegen
  • Consider using the full path to the codegen executable

Advanced Configuration

Custom Server Path If you need to specify a custom path to the Codegen installation:

{
  "mcpServers": {
    "codegen": {
      "command": "/path/to/your/codegen",
      "args": ["mcp"]
    }
  }
}

Environment Variables You can set additional environment variables for the MCP server:

{
  "mcpServers": {
    "codegen": {
      "command": "codegen",
      "args": ["mcp"],
      "env": {
        "CODEGEN_API_KEY": "your-api-key-here",
        "CODEGEN_API_BASE_URL": "https://api.codegen.com"
      }
    }
  }
}

HTTP Transport (Future) For remote or multi-user setups, HTTP transport will be available:

# Start server with HTTP transport (when implemented)
codegen mcp --transport http --port 8080

Best Practices

  1. Secure Your API Key: Never commit API keys to version control. Use environment variables or secure configuration management.

  2. Use Descriptive Codemod Names: Use clear, hyphenated names for generated codemods

    Good: "add-error-handling", "migrate-to-hooks"
    Avoid: "fix", "update", "change"
    
  3. Provide Clear Task Descriptions: Be specific about what you want the codemod to accomplish

    Good: "Add try-catch blocks around all async function calls in React components"
    Avoid: "Add error handling"
    
  4. Test Generated Codemods: Always review and test generated codemods before applying them to production code

  5. Use Version Control: Commit your code before running codemods to easily revert if needed

  6. Monitor Agent Runs: Use the get_agent_run tool to monitor the progress and results of your agent runs

Examples

Example 1: Generate a React Hook Migration Codemod

In your AI editor chat:

Use the generate_codemod tool to create a codemod called "migrate-class-to-hooks" that converts React class components to functional components with hooks. The codebase is located at /Users/myname/projects/my-react-app

Example 2: Create an Agent Run

Create an agent run in my organization to fix all TypeScript errors in the src directory of my project

Example 3: Monitor Agent Progress

Check the status of agent run 123 in organization 456 to see if it's completed

Example 4: List Team Members

Show me all users in organization 789 so I can see who's on my team

Resources

The MCP server also provides these resources for additional context:

  • system://agent_prompt: Information about the Codegen SDK and platform
  • system://setup_instructions: Environment setup instructions
  • system://manifest: Server metadata and version information

Support

If you encounter issues with the MCP integration:

  1. Check the documentation: Review this guide and the official MCP documentation
  2. Test the CLI: Ensure codegen mcp works independently
  3. Check logs: Look for error messages in your editor’s developer console
  4. Community support: Join our Discord community for help
  5. Report bugs: Create an issue on our GitHub repository

What’s Next?

With Codegen MCP integration set up, you can:

  • Generate codemods directly from your AI editor
  • Create and manage agent runs without leaving your IDE
  • Access your organization’s resources and team information
  • Streamline your code transformation workflows
  • Integrate Codegen into your existing development process

Explore our API documentation to learn more about Codegen’s capabilities, or check out our examples repository for inspiration.