
MCP Starter
A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
README
MCP Starter Project
<p>
<img src="https://img.shields.io/badge/License-MIT-yellow?style=flat&colorA=18181B&colorB=28CF8D" alt="License">
<!-- Add other relevant badges here, e.g., build status, stars -->
<!-- <a href="YOUR_REPO_LINK/stargazers"><img src="https://img.shields.io/github/stars/YOUR_USERNAME/YOUR_REPO.svg?style=flat&colorA=18181B&colorB=28CF8D" alt="Stars"></a> -->
</p>
MCP Starter - A foundation for building your own local Model Context Protocol (MCP) server.
This starter kit provides a basic structure and example setup for creating custom tools accessible via AI assistants like Cursor or Claude Desktop using the MCP standard.
Features
- 🚀 MCP Ready - Easily integrate with MCP-compatible clients.
- 🔧 Extensible Tooling - Simple structure to add your own custom tools.
- 📦 Minimal Setup - Get started quickly with a basic server implementation.
- ↔️ Based on Anthropic MCP - Follows the specifications outlined by Anthropic.
- 🤖 Cursor AI Integration - Includes example
.cursor/mcp.json
configuration. - ⌨️ TypeScript - Add type safety to your project.
<!-- Add other features specific to your starter implementation -->
Usage
Local development
{
"mcpServers": {
"my-starter-mcp": {
"command": "node",
"args": ["./dist/index.mjs"]
}
}
}
Getting Started
Prerequisites
Installation & Setup
-
Clone the repository:
git clone https://github.com/YOUR_USERNAME/YOUR_REPO.git cd YOUR_REPO
-
Install dependencies:
npm install # or yarn install
-
Configure environment variables:
- Create a
.env
file based on.env.example
. - Add any necessary API keys or configuration values required by your custom tools.
- Create a
-
Add to your MCP client: Add the following MCP configuration to your client (e.g., Cursor's
.cursor/mcp.json
):{ "mcpServers": { "my-custom-mcp": { "command": "node", // Or your chosen execution command "args": ["path/to/your/server/entrypoint.js"], // Adjust path as needed "env": { // Add any environment variables your server needs from the client side, if any // "EXAMPLE_API_KEY": "<INSERT_API_KEY_HERE>" } } } }
- Replace
"my-custom-mcp"
with a unique name for your server. - Adjust the
"command"
and"args"
to correctly point to and run your server's main script. - Ensure any required
env
variables are configured either here or directly in your server's environment (e.g., via the.env
file).
- Replace
Running the Server
npm start
# or yarn start
This command should start your MCP server, making its tools available to connected clients.
Available Tools
exampleTool
: Describe what your example tool does.- (Add more tools as you implement them)
Develop
This project provides a starting point. You'll likely want to:
- Implement your own custom tools within the server logic.
- Define the schema (parameters, description) for your tools.
- Add error handling and logging.
- Write tests for your tools.
Follow the contribution guidelines if you plan to contribute back to the starter project itself.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Links
- X/Twitter: @kregenrek
- Bluesky: @kevinkern.dev
Courses
- Learn Cursor AI: Ultimate Cursor Course
- Learn to build software with AI: instructa.ai
See my other projects:
- AI Prompts - Curated AI Prompts for Cursor AI, Cline, Windsurf and Github Copilot
- codefetch - Turn code into Markdown for LLMs with one simple terminal command
- aidex A CLI tool that provides detailed information about AI language models, helping developers choose the right model for their needs.# mcp-starter
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.