Description

<b>mcp-use</b> is the fullstack MCP framework to build MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

About

mcp-use is the fullstack MCP framework to build MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

Build with mcp-use SDK (ts | py): MCP Servers and MCP Apps
Preview on mcp-use MCP Inspector (online | oss): Test and debug your MCP Servers and Apps
Deploy on Manufact MCP Cloud: Connect your GitHub repo and have your MCP Server and App up and running in production with observability, metrics, logs, branch-deployments, and more

Documentation

Visit our [docs](https://mcp-use.com/docs) or jump to a quickstart ([TypeScript](https://mcp-use.com/docs/typescript/getting-started/quickstart) | [Python](https://mcp-use.com/docs/python/getting-started/quickstart))

Skills for Coding Agents

**Using Claude Code, Codex, Cursor or other AI coding agents?**

**[Install mcp-use skill for MCP Apps](https://skills.sh/mcp-use/mcp-use/mcp-apps-builder)**

Quickstart: MCP Servers and MCP Apps

TypeScript

Build your first MCP Server or MPC App:

npx create-mcp-use-app@latest

Or create a server manually:

import { MCPServer, text } from "mcp-use/server";
import { z } from "zod";

const server = new MCPServer({
  name: "my-server",
  version: "1.0.0",
});

server.tool({
  name: "get_weather",
  description: "Get weather for a city",
  schema: z.object({ city: z.string() }),
}, async ({ city }) => {
  return text(`Temperature: 72°F, Condition: sunny, City: ${city}`);
});

await server.listen(3000);
// Inspector at http://localhost:3000/inspector

...