What is the MCP framework?
MCP (Model Context Protocol) is a framework that allows you to integrate custom tools into AI-assisted development environments such as Cursor AI, enabling LLMs to call these tools on demand.
@lucianoayres
基本情報
MCP Server implemented in JavaScript using Node.js that demonstrates how to build an MCP server with a custom prompt and custom tools, including one that loads an environment variable from a configuration file, to integrate seamlessly with AI-assisted environments like Cursor IDE
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-node": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"node",
"./mcp-server.js"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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MCP Server in Node.js is a demonstration project that implements a Model Context Protocol (MCP) server using JavaScript and Node.js. It exposes two tools—add and getApiKey—plus a predefined add_numbers prompt, allowing LLM-based IDEs like Cursor AI to call these tools on demand.
Clone the repository, install dependencies with npm install, then test via the MCP Inspector using npm run inspector or npx @modelcontextprotocol/inspector node ./mcp-server.js. To integrate with Cursor IDE, add the server configuration in Cursor’s Settings → Tools & Integrations using the sample JSON provided in the README.
getApiKey tool.StdioServerTransport.MCP (Model Context Protocol) is a framework that allows you to integrate custom tools into AI-assisted development environments such as Cursor AI, enabling LLMs to call these tools on demand.
Two tools are defined: **add** (takes two numbers `a` and `b` and returns their sum) and **getApiKey** (retrieves the value of the `API_KEY` environment variable).
Use the MCP Inspector by running `npm run inspector` or `npx @modelcontextprotocol/inspector node ./mcp-server.js`, then open `http://localhost:6274/` in your browser to test tools, resources, and prompts.
Node.js version 20 or higher is required.
In Cursor IDE, go to Settings → Tools & Integrations → Add Custom MCP Server and add the JSON configuration specifying `command` (`"node"` or full path), `args` (absolute path to the server file), and optional `env` (e.g., `"API_KEY"`).
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