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AI Agent with MCP Server

@moises-paschoalick

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

moises-paschoalick

AI Agent with MCP Server について

Este projeto é um playground para criar o primeiro servidor MCP (Model Context Protocol), um protocolo que permite integrar LLMs a recursos externos de forma padronizada.

AI Agent with MCP Server の設定

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": {
    "ai-agent-with-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "install",
        "@wonderwhy-er/desktop-commander",
        "--client",
        "cursor",
        "--key",
        "dda23bec-caa6-4487-a1e9-eb74e22e33eb"
      ]
    }
  }
}

AI Agent with MCP Server のツール

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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is AI Agent with MCP?

AI Agent with MCP is an implementation of an AI agent that uses the Model Context Protocol (MCP) to interact with external resources. It includes a functional MCP server with REST resources for users and messages, along with a client to consume those resources. The project is designed for developers who want to build and test MCP servers with NodeJS, particularly for integration with the Cursor editor.

How to use AI Agent with MCP?

Install the server via npx -y @smithery/cli@latest install @wonderwhy-er/desktop-commander --client cursor --key <your-key>, or manually add it to your mcp.json file (Mac/Linux or Windows). You can also clone the repository and run npm run setup. After installation, use the provided TypeScript client code to connect and list resources, or access resources directly via REST (e.g., curl http://3.238.149.189:8080/users).

Key features of AI Agent with MCP

  • Provides api://users resource listing all registered users.
  • Provides hello://world resource returning a simple greeting.
  • Includes a functional MCP client built with the official SDK.
  • Supports installation via Smithery CLI or manual Cursor config.
  • Allows direct REST API access to resources.

Use cases of AI Agent with MCP

  • Retrieving a list of users with ID, phone number, name, and thread ID.
  • Getting a “Hello, World!” greeting message through an MCP resource.
  • Learning how to create and consume MCP resources in NodeJS.
  • Integrating MCP resources into the Cursor editor environment.
  • Testing MCP server-client communication with practical examples.

よくある質問

1

How do I install the MCP server?

You can install it using npx with Smithery CLI: `npx -y @smithery/cli@latest install @wonderwhy-er/desktop-commander --client cursor --key <your-key>`. Alternatively, add the server configuration manually to `mcp.json` (located at `~/.config/cursor.json` on Linux), or clone the repository and run `npm run setup`.

2

What resources are available?

The server provides two resources: `api://users` (returns a JSON list of users with id, phoneNumber, name, and threadId) and `hello://world` (returns a plain text greeting “Hello, World! This is my first MCP resource.”).

3

How do I use the MCP client?

Import `Client` and `StdioClientTransport` from the SDK, create a client with `name: "hello-mcp-client"`, connect using `new StdioClientTransport({ command: "node", args: ["build/index.js"] })`, then call `client.listResources()` and `client.readResource({ uri: "api://users" })`.

4

What are the system requirements?

Node.js (version compatible with AbortController), TypeScript, and the `@modelcontextprotocol/sdk` package are required.

5

How can I access resources via REST?

Run `curl http://3.238.149.189:8080/users` to get the list of users directly over HTTP. The hello resource is accessed via the MCP protocol only.

コメント

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