MCP Server Boilerplate
A basic MCP server that provides an addition tool and an API key retrieval tool, designed as a boilerplate for integration with Cursor AI.
README
MCP Server in Node.js
Overview
MCP (Model Context Protocol) is a framework that allows you to integrate custom tools into AI-assisted development environments—such as Cursor AI. MCP servers expose functionality (like data retrieval or code analysis) so that an LLM-based IDE can call these tools on demand. Learn more about MCP in the Model Context Protocol Introduction.
This project demonstrates an MCP server built in Node.js that provides two basic tools. One tool, add, accepts two numbers and returns their sum, while the other, getApiKey, retrieves the API key from the environment (via the API_KEY variable).
Requirements
- Node.js: Version 20 or higher is required.
Features
- MCP Integration: Exposes tool functionality to LLM-based IDEs.
- Addition Tool: Accepts two numeric parameters and returns their sum.
- Env Var Retrieval: Demonstrates how to load an example environment variable from the configuration file.
- Input Validation: Uses Zod for schema validation.
- Standard I/O Transport: Connects via
StdioServerTransportfor integration with development environments.
Installation
-
Clone the Repository
git clone <repository_url> cd <repository_directory> -
Install Dependencies
You can install the project dependencies in one of two ways:
Option 1: Install using the existing
package.jsonSimply run:
npm installOption 2: Install dependencies manually
If you prefer, delete the existing
package.jsonand install the required packages manually:npm install @modelcontextprotocol/sdk @coinpaprika/api-nodejs-client zodThen, update the newly generated
package.jsonfile to include the following line, which enables ES Modules:"type": "module"
Integrating with Cursor AI
This project includes a ./cursor subdirectory that contains an mcp.json file for configuring the MCP server. Cursor AI uses this file to automatically discover and launch your MCP server. Open the file and update the fields as follows:
The ./cursor/mcp.json Structure
Below is the full JSON structure of the configuration file:
{
"mcpServers": {
"MCP Server Boilerplate": {
"command": "/path/to/node",
"args": ["/path/to/mcp-server.js"],
"env": {
"API_KEY": "abc-1234567890"
}
}
}
}
-
mcpServers:
An object mapping server names to their configuration. -
MCP Server Boilerplate:
This is the key for your server configuration. You can name it as you like. -
command:
Specifies the absolute path to your Node.js executable. For example:/home/john/.nvm/versions/node/v20.13.1/bin/node -
args:
An array containing the absolute path to your MCP server file. For example:["/home/john/mcp-server-node/index.js"] -
env: (Optional)
Defines environment variables for your MCP server process. In this example, theAPI_KEYis set to"abc-1234567890". Adjust this value as needed for your environment.
You can verify the absolute path to your Node.js executable by running which node in your terminal.
Optional: Configuration Automation Scripts
Easily configure your local environment by automatically updating the mcp.json file with the correct absolute paths. To apply your local settings, run the following commands from your project root:
chmod +x ./scripts/update_config.sh
./scripts/update_config.sh
This script replaces the placeholder paths in mcp.json with your machine’s absolute paths for Python and the server script, ensuring your configuration settings are always accurate.
Optional: Global Cursor settings
You can also move the mcp.json file to your global Cursor AI configuration directory located at ~/.cursor to make the configuration available globally.
Using the MCP Tool in Cursor Composer (Agent Mode)
With the MCP server integrated into Cursor AI and with Agent mode enabled in Cursor Composer, simply use a natural language prompt like:
add 3 and 5
or
what is my API key?
The AI agent will infer the available add or getApiKey tool from your MCP server and execute it accordingly.
Code Overview
The project comprises the following key parts:
-
MCP Server Initialization:
The MCP server is instantiated usingMcpServerfrom the MCP SDK and connected viaStdioServerTransport. -
Tool Definitions:
- add:
Defined with a Zod schema that accepts two numbers (aandb) and returns their sum as text. - getApiKey:
Retrieves the API key from the environment variableAPI_KEYand returns it as text.
- add:
What is MCP?
Model Context Protocol (MCP) provides a standardized approach to integrate custom tools into AI-assisted development environments. With MCP, you can define tools that perform specific tasks—such as retrieving external data, validating code, or enforcing coding standards—and the AI assistant in your IDE can call these tools automatically based on context. This helps improve developer productivity, ensures consistent quality, and streamlines workflows.
References & Resources
- Model Context Protocol: typescript-sdk
- Use Your Own MCP on Cursor in 5 Minutes
- Model Context Protocol Introduction
License
This project is licensed under the MIT License.
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.