A deprecated guide to building MCP servers with mcp-use, covering callable actions, data resources, reusable prompts, and interactive widgets. It includes design references and code examples, and directs users to the replacement skill, mcp-app-builder.
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DEPRECATED: This skill has been replaced by `mcp-app-builder`. Check if `mcp-app-builder` is available in the skills folder. If not, install it: `npx skills install mcp-use/mcp-use --skill mcp-app-builder` Use `mcp-app-builder` instead of this skill. Build Model Context Protocol (MCP) servers with mcp-use framework. Use when creating MCP servers, defining tools/resources/prompts, working with mcp-use, bootstrapping MCP projects, or when user mentions MCP development, tools, resources, or prompts.
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Build production-ready MCP servers with tools, resources, prompts, and interactive widgets using mcp-use.
Decompose user requests into tools, widgets, and resources. Decide what needs UI vs text.
Read design-and-architecture.md: when planning what to build, deciding tool vs widget, or designing UX flows.
server.tool(), server.resource(), server.prompt() coderesources/ folderimport {
MCPServer,
text,
object,
markdown,
html,
image,
widget,
error,
} from "mcp-use/server";
import { z } from "zod";
const server = new MCPServer({ name: "my-server", version: "1.0.0" });
// Tool
server.tool(
{
name: "my-tool",
description: "...",
schema: z.object({ param: z.string().describe("...") }),
},
async ({ param }) => text("result"),
);
// Resource
server.resource(
{ uri: "config://settings", name: "Settings", mimeType: "application/json" },
async () => object({ key: "value" }),
);
// Prompt
server.prompt(
{
name: "my-prompt",
description: "...",
schema: z.object({ topic: z.string() }),
},
async ({ topic }) => text(`Write about ${topic}`),
);
server.listen();
Response helpers: text(), object(), markdown(), html(), image(), audio(), binary(), error(), mix(), widget()
Server methods: server.tool(), server.resource(), server.resourceTemplate(), server.prompt(), server.listen()
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Coordinate large research or generation tasks across a model team. An orchestrator plans and checks the work, workers execute subtasks in parallel, and an advisor reviews the plan and draft before the results are combined.
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Develop ChatGPT apps with interactive React widgets using mcp-use and OpenAI Apps SDK. Guidance covers app scope, server tools, shared state, and display settings. This skill is deprecated and points users to mcp-app-builder.
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Investigate why a file or function exists using local Git history. Trace its introduction, later edits, authorship, and files often changed alongside it, then summarize likely intent and change risks while distinguishing evidence from inference.
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Inspect Python and JavaScript dependency files for missing version constraints, duplicate entries, conflicting exact versions, and outdated Python compatibility packages. Get plain-language explanations and focused repair suggestions, with offline checks by default.
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Simulate readers encountering a draft for the first time to see whether they open it, where their attention fades, and what they remember. Receive reader comments alongside the text without rewrites or suggested fixes.
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Build MCP servers that let AI access actions and data using mcp-use. The guide covers project setup, reusable prompts, interactive React interfaces, authentication, error handling, and deployment, with reference files for each area.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.