@moises-paschoalick
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"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"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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.
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).
api://users resource listing all registered users.hello://world resource returning a simple greeting.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`.
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.”).
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" })`.
Node.js (version compatible with AbortController), TypeScript, and the `@modelcontextprotocol/sdk` package are required.
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.
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