Create
๐ Generate and extend production-ready Model Context Protocol (MCP) servers with a modern CLI tool that showcases all MCP features in one cohesive example.
claude mcp add --transport stdio anniebabs-create-mcp node path/to/server.js
How to use
Create-MCP is a command-line tool that helps you generate production-ready MCP servers from templates. It provides a straightforward CLI to scaffold servers with built-in templates, TypeScript support, and options to integrate AI components for enhanced functionality. After creating a server, you can customize settings and then run the generated server directly within the project directory. The tool focuses on reducing setup friction so you can focus on building your MCP-enabled applications.
To use it, first create a new server using the CLI command provided by Create-MCP, typically something like: create-mcp create my-server. The command will scaffold a new MCP server named my-server, offering template choices and configuration prompts. Once created, navigate into your project directory (cd my-server) and start the server with npm start or the command specified by the template. The resulting MCP server will be ready to connect to your Model Context Protocol tooling and can leverage templates, AI components, and TypeScript for robust development.
How to install
Prerequisites:
- Node.js and npm (for the CLI and generated server development)
- Access to the internet to download templates and dependencies
Step-by-step installation:
-
Install Node.js and npm from https://nodejs.org/ (ensure npm is installed with Node.js).
-
Install the Create-MCP CLI globally (or use the provided installer if you prefer):
npm install -g create-mcp
-
Create a new MCP server project using the CLI:
create-mcp create my-server
-
Change into the project directory and install dependencies (if not installed automatically by the generator):
cd my-server npm install
-
Start the generated server:
npm start
Prerequisites are met and the server should be up and running, ready for configuration and integration with MCP tooling.
Additional notes
Tips and common considerations:
- The generated server typically uses Node.js and can be started with npm start. If you customize the server, ensure your entry point matches the start script configured by the template.
- Templates: Choose from various built-in templates to tailor the server to your use case (AI integration, TypeScript support, etc.).
- AI Integration: If you enable AI components, you may need API keys or service endpoints; keep those secure and consider environment variables to manage credentials.
- Environment variables: You can configure variables such as API keys, endpoints, and runtime options in a .env file or your hosting environment. Ensure these are loaded by your server at startup.
- Troubleshooting: If npm install fails, verify network access and Node/npm versions. Clear npm cache if needed (npm cache clean --force) and retry. If the CLI prompts fail to render, ensure you are using a compatible Node.js version with the Create-MCP CLI.
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