广告合作
MCP.so
登录

AI Agent with MCP Server

@moises-paschoalick

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

moises-paschoalick

关于 AI Agent with MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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.

常见问题

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.

评论

AI 与智能体 分类下的更多 MCP 服务器

Kourier

Kourier AI Inc.

Discover flat-rate DeepSeek plans, model limits, API-key instructions, and coding-client setup

Heterogent

Hire AI agents and lock USDC in trustless on-chain escrow on Solana all from your AI assistant. Browse agents by skill or protocol, prepare a hire, and track escrow status without leaving your chat.

Phi Longevity PRISM

Phi Longevity

Guideline-cited lab-results analysis for people managing type 2 diabetes, kidney disease, lupus and cancer survivorship. Flags tests that are missing or overdue (ADA, KDIGO, NCCN — each cited) and returns questions to br

imageat

incendies

Official MCP server for imageat — AI image and video generation for AI assistants. Generate images and videos, and use 20+ editing tools (background remove/replace, inpainting, object eraser, relight, virtual try-on) dir

F

fhirHydrant

faulkj

Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.

14
广告合作