MCP Starter Server
A minimal template for building AI assistant tools using the ModelContextProtocol.
MCP Starter Server
A minimal ModelContextProtocol server template for building AI assistant tools. This starter provides a basic structure for creating MCP tools that can be used with AI assistants like Claude.
Features
- Simple "hello world" tool example
- TypeScript + esbuild setup
- Development tools preconfigured
Setup to build and run with Claude
-
Download and install Claude desktop app from claude.ai/download
-
Clone the repo, install dependencies and build:
npm install
npm run build
- Configure Claude to use this MCP server. If this is your first MCP server, in the root of this project run:
echo '{
"mcpServers": {
"mcp-starter": {
"command": "node",
"args": ["'$PWD'/dist/index.cjs"]
}
}
}' > ~/Library/Application\ Support/Claude/claude_desktop_config.json
This should result in an entry in your claude_desktop_config.json like:
"mcpServers": {
"mcp-starter": {
"command": "node",
"args": ["/Users/matt/code/mcp-starter/dist/index.cjs"]
}
}
If you have existing MCP servers, add the mcp-starter block to your existing config. It's an important detail that the args is the path to <path_to_repo_on_your_machine>/mcp-starter/dist/index.cjs.
-
Restart Claude Desktop.
-
Look for the hammer icon with the number of available tools in Claude's interface to confirm the server is running.
-
If this is all working, you should be able to develop your MCP server using
npm run devand test it in Claude. You'll need to restart Claude each time to restart the MCP server.
Developing with Inspector
For development and debugging purposes, you can use the MCP Inspector tool. The Inspector provides a visual interface for testing and monitoring MCP server interactions.
Visit the Inspector documentation for detailed setup instructions.
To test locally with Inspector:
npm run inspect
To build on file changes run:
npm run watch
Or run both the watcher and inspector:
npm run dev
Publishing
Once you're ready to distribute your server, it's simple!
-
Set up an NPM account.
-
Run
npm publish. This will publish a package using the project name inpackage.json -
Once published, others can install the server with a config entry like:
"mcpServers": {
"<your-package-name>": {
"command": "npx",
"args": ["<your-package-name>"]
}
}
Available Tools
The server provides:
hello_tool: A simple example tool that takes a name parameter and returns a greeting
Creating New Tools
To add new tools:
- Define the tool schema in
index.ts - Add it to the tools array in the
ListToolsRequestSchemahandler - Add the implementation in the
CallToolRequestSchemahandler
See the hello_tool implementation as an example.
Serveurs connexes
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
LAML MCP Server
Loads and validates LAML (YAML-based markup language) documents via the Model Context Protocol.
Kubernetes Port Forward – MCP Server
MCP server that provides tools for managing Kubernetes port-forwarding sessions.
Cursor Talk to Figma MCP
Integrates Cursor AI with Figma to read and programmatically modify designs.
Rug-Check-MCP
Detects potential risks in Solana meme tokens to help avoid rug pulls and unsafe projects.
EdgeOne Pages MCP
An MCP server and client implementation for EdgeOne Pages Functions, supporting OpenAI-formatted requests.
MCPR
Expose R functions through the Model Context Protocol (MCP) for seamless integration with AI assistants.
Composer Package README MCP Server
Fetches comprehensive information about Composer packages from Packagist, including READMEs, metadata, and search functionality.
Deno Gemini Grounding MCP Server
A Model Context Protocol server that provides access to the connpass users API v2, utilizing Gemini for grounding.
UI Prototype
A modern web application prototype built with React, TypeScript, and Material-UI, featuring authentication, internationalization, and Figma integration.
NetMind ParsePro
Parses PDF files from a URL into structured formats like JSON and Markdown.