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mcp-apps-builderMCP apps 构建器

Agent Skill

mcp-apps-builder 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mcp-apps-builder(MCP apps 构建器)
来源仓库:https://github.com/mcp-use/mcp-use
仓库路径:skills/mcp-apps-builder
安装命令:
npx skills add https://github.com/mcp-use/mcp-use --skill mcp-apps-builder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mcp-use/mcp-use --skill mcp-apps-builder

简介

使用工具、资源、提示和小部件构建生产 MCP 服务器的强制性参考指南。

  • 涵盖基本概念(工具、资源、提示、Widget 原语)、服务器架构、身份验证模式(OAuth、Supabase、自定义)和部署策略
  • 包括用于实现工具、资源、提示、响应格式以及具有状态管理和主题的基于小部件的 UI 的详细指南
  • 记录常见的反模式(缺少验证、错误处理不当、小部件状态错误)和黄金规则(每种功能一个工具、小部件拥有自己的状态、在边界进行验证)
  • 为天气应用程序、待办事项列表和其他常见用例提供决策树、快速参考和端到端示例

SKILL.md

IMPORTANT: How to Use This Skill

This file provides a NAVIGATION GUIDE ONLY. Before implementing any MCP server features, you MUST:

  1. Read this overview to understand which reference files are relevant
  2. ALWAYS read the specific reference file(s) for the features you're implementing
  3. Apply the detailed patterns from those files to your implementation

Do NOT rely solely on the quick reference examples in this file - they are minimal examples only. The reference files contain critical best practices, security considerations, and advanced patterns.


MCP Server Best Practices

Comprehensive guide for building production-ready MCP servers with tools, resources, prompts, and widgets using mcp-use.

⚠️ FIRST: New Project or Existing Project?

Before doing anything else, determine whether you are inside an existing mcp-use project.

Detection: Check the workspace for a package.json that lists "mcp-use" as a dependency, OR any .ts file that imports from "mcp-use/server".

├─ mcp-use project FOUND → Do NOT scaffold. You are already in a project.
│  └─ Skip to "Quick Navigation" below to add features.
│
├─ NO mcp-use project (empty dir, unrelated project, or greenfield)
│  └─ Scaffold first with npx create-mcp-use-app, then add features.
│     See "Scaffolding a New Project" below.
│
└─ Inside an UNRELATED project (e.g. Next.js app) and user wants an MCP server
   └─ Ask the user where to create it, then scaffold in that directory.
      Do NOT scaffold inside an existing unrelated project root.

NEVER manually create MCPServer boilerplate, package.json, or project structure by hand. The CLI sets up TypeScript config, dev scripts, inspector integration, hot reload, and widget compilation that are difficult to replicate manually.


Scaffolding a New Project

npx create-mcp-use-app my-server
cd my-server
npm run dev

For full scaffolding details and CLI flags, see quickstart.md.


Quick Navigation

Choose your path based on what you're building:

🚀 Foundations

When: ALWAYS read these first when starting MCP work in a new conversation. Reference later for architecture/concept clarification.

  1. concepts.md - MCP primitives (Tool, Resource, Prompt, Widget) and when to use each
  2. architecture.md - Server structure (Hono-based), middleware system, server.use() vs server.app
  3. quickstart.md - Scaffolding, setup, and first tool example
  4. deployment.md - Deploying to Manufact Cloud, self-hosting, Docker, managing deployments

Load these before diving into tools/resources/widgets sections.


🔐 Adding Authentication?

When: Protecting your server with OAuth (Auth0, Better Auth, WorkOS, Supabase, Keycloak, or any other provider)

- When: First time adding auth, understanding ctx.auth, or choosing a provider / integration mode - Covers: Remote auth vs OAuth proxy, oauth config, ctx.auth shape, provider comparison, common mistakes

- When: Using Auth0 — DCR (Early Access) or a standard Regular Web App via oauthProxy - Covers: Setup for both modes, extraAuthorizeParams.audience, permissions via rfc9068_profile_authz

- When: Using Better Auth with the @better-auth/oauth-provider plugin (self-hosted OAuth 2.1) - Covers: oauthBetterAuthProvider, auth URL / metadata routes, login and consent flows

- When: Using WorkOS AuthKit (DCR only) - Covers: Setup, env vars, roles/permissions, multi-tenant org filtering, WorkOS API calls

- When: Using Supabase's OAuth 2.1 server - Covers: Setup, publishable keys, ES256 vs HS256, hosting the consent UI, RLS-aware SDK calls

- When: Using Keycloak via native DCR - Covers: DCR trusted hosts + web origins, audience enforcement, realm vs resource roles, userinfo

- When: Any other provider — DCR-capable via oauthCustomProvider, or pre-registered (Google, GitHub, Okta, Azure AD) via oauthProxy - Covers: oauthCustomProvider, oauthProxy + jwksVerifier, provider examples, opaque-token verification


🔧 Building Server Backend (No UI)?

When: Implementing MCP features (actions, data, templates). Read the specific file for the primitive you're building.

- When: Creating backend actions the AI can call (send-email, fetch-data, create-user) - Covers: Tool definition, schemas, annotations, context, error handling

- When: Exposing read-only data clients can fetch (config, user profiles, documentation) - Covers: Static resources, dynamic resources, parameterized resource templates, URI completion

- When: Creating reusable message templates for AI interactions (code-review, summarize) - Covers: Prompt definition, parameterization, argument completion, prompt best practices

- When: Formatting responses from tools/resources (text, JSON, markdown, images, errors) - Covers: text(), object(), markdown(), image(), error(), mix()

- When: Composing multiple MCP servers into one unified aggregator server - Covers: server.proxy(), config API, explicit sessions, sampling routing

- When: Adding cross-cutting logic (logging, auth checks, rate limiting, tool filtering) that spans multiple tools/resources - Covers: server.use('mcp:...') middleware, MiddlewareContext (method, params, auth, state), pattern matching, HTTP vs MCP middleware


🎨 Building Visual Widgets (Interactive UI)?

When: Creating React-based visual interfaces for browsing, comparing, or selecting data

- When: Creating your first widget or adding UI to an existing tool - Covers: Widget setup, useWidget() hook, isPending checks, props handling

- When: Managing UI state (selections, filters, tabs) within widgets - Covers: useState, setState, state persistence, when to use tool vs widget state

- When: Adding buttons, forms, or calling tools from within widgets - Covers: useCallTool(), form handling, action buttons, optimistic updates

- When: Styling widgets to support themes, responsive layouts, or accessibility - Covers: useWidgetTheme(), light/dark mode, autoSize, layout patterns, CSS best practices

- When: Building complex widgets with async data, error boundaries, or performance optimizations - Covers: Loading states, error handling, memoization, code splitting

- When: Keeping the AI model aware of what the user is currently seeing (active tab, hovered item, selected product) without requiring tool calls - Covers: <ModelContext> component, modelContext.set/remove imperative API, nesting, tree serialization, lifecycle rules

- When: Uploading or downloading files from within a widget (ChatGPT Apps SDK only) - Covers: useFiles() hook, isSupported guard, model visibility (modelVisible), storing fileId, temporary download URLs


📚 Need Complete Examples?

When: You want to see full implementations of common use cases

- End-to-end examples: weather app, todo list, recipe browser - Shows: Server code + widget code + best practices in context


Decision Tree

What do you need?

├─ New project from scratch
│  └─> quickstart.md (scaffolding + setup)
│
├─ OAuth / user authentication
│  └─> authentication/overview.md → provider-specific guide
│
├─ Simple backend action (no UI)
│  └─> Use Tool: server/tools.md
│
├─ Read-only data for clients
│  └─> Use Resource: server/resources.md
│
├─ Reusable prompt template
│  └─> Use Prompt: server/prompts.md
│
├─ Cross-cutting logic (logging, auth checks, rate limiting, tool filtering)
│  └─> Use Middleware: architecture.md#mcp-middleware
│
├─ Visual/interactive UI
│  └─> Use Widget: widgets/basics.md
│
├─ Keep model aware of what user is seeing in widget
│  └─> widgets/model-context.md
├─ Upload/download files in a widget
│  └─> widgets/files.md (ChatGPT Apps SDK only)
│
└─ Deploy to production
   └─> deployment.md (cloud deploy, self-hosting, Docker)

Core Principles

  1. Tools for actions - Backend operations with input/output
  2. Resources for data - Read-only data clients can fetch
  3. Prompts for templates - Reusable message templates
  4. Widgets for UI - Visual interfaces when helpful
  5. Mock data first - Prototype quickly, connect APIs later

❌ Common Mistakes

Avoid these anti-patterns found in production MCP servers:

Tool Definition

  • ❌ Returning raw objects instead of using response helpers

- ✅ Use text(), object(), widget(), error() helpers

  • ❌ Skipping Zod schema .describe() on every field

- ✅ Add descriptions to all schema fields for better AI understanding

  • ❌ No input validation or sanitization

- ✅ Validate inputs with Zod, sanitize user-provided data

  • ❌ Throwing errors instead of returning error() helper

- ✅ Use error("message") for graceful error responses

Widget Development

  • ❌ Accessing props without checking isPending

- ✅ Always check if (isPending) return <Loading/>

  • ❌ Widget handles server state (filters, selections)

- ✅ Widgets manage their own UI state with useState

  • ❌ Missing McpUseProvider wrapper or autoSize

- ✅ Wrap root component: <McpUseProvider autoSize>

  • ❌ Inline styles without theme awareness

- ✅ Use useWidgetTheme() for light/dark mode support

Security & Production

  • ❌ Hardcoded API keys or secrets in code

- ✅ Use process.env.API_KEY, document in .env.example

  • ❌ No error handling in tool handlers

- ✅ Wrap in try/catch, return error() on failure

  • ❌ Expensive operations without caching

- ✅ Cache API calls, computations with TTL

  • ❌ Missing CORS configuration

- ✅ Configure CORS for production deployments


🔒 Golden Rules

Opinionated architectural guidelines:

1. One Tool = One Capability

Split broad actions into focused tools:

  • manage-users (too vague)
  • create-user, delete-user, list-users

2. Return Complete Data Upfront

Tool calls are expensive. Avoid lazy-loading:

  • list-products + get-product-details (2 calls)
  • list-products returns full data including details

3. Widgets Own Their State

UI state lives in the widget, not in separate tools:

  • select-item tool, set-filter tool
  • ✅ Widget manages with useState or setState

4. exposeAsTool Defaults to false

Widgets are registered as resources only by default. Use a custom tool (recommended) or set exposeAsTool: true to expose a widget to the model:

// ✅ ALL 4 STEPS REQUIRED for proper type inference:

// Step 1: Define schema separately
const propsSchema = z.object({
  title: z.string(),
  items: z.array(z.string())
});

// Step 2: Reference schema variable in metadata
export const widgetMetadata: WidgetMetadata = {
  description: "...",
  props: propsSchema,  // ← NOT inline z.object()
  exposeAsTool: false
};

// Step 3: Infer Props type from schema variable
type Props = z.infer<typeof propsSchema>;

// Step 4: Use typed Props with useWidget
export default function MyWidget() {
  const { props, isPending } = useWidget<Props>();  // ← Add <Props>
  // ...
}

⚠️ Common mistake: Only doing steps 1-2 but skipping 3-4 (loses type safety)

5. Validate at Boundaries Only

  • Trust internal code and framework guarantees
  • Validate user input, external API responses
  • Don't add error handling for scenarios that can't happen

6. Prefer Widgets for Browsing/Comparing

When in doubt, add a widget. Visual UI improves:

  • Browsing multiple items
  • Comparing data side-by-side
  • Interactive selection workflows

Quick Reference

Minimal Server

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

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

server.tool(
  {
    name: "greet",
    description: "Greet a user",
    schema: z.object({ name: z.string().describe("User's name") })
  },
  async ({ name }) => text("Hello " + name + "!"),
);

server.listen();

Response Helpers

HelperUse WhenExample
text()Simple string responsetext("Success!")
object()Structured dataobject({status: "ok"})
markdown()Formatted textmarkdown("# Title\nContent")
widget()Visual UIwidget({props: {...}, output: text(...)})
mix()Multiple contentsmix(text("Hi"), image(url))
error()Error responseserror("Failed to fetch data")
resource()Embed resource refsresource("docs://guide", "text/markdown")

Server methods:

  • server.tool() - Define executable tool
  • server.resource() - Define static/dynamic resource
  • server.resourceTemplate() - Define parameterized resource
  • server.prompt() - Define prompt template
  • server.proxy() - Compose/Proxy multiple MCP servers
  • server.uiResource() - Define widget resource
  • server.listen() - Start server
  • server.use('mcp:tools/call', fn) - MCP middleware (tools, resources, prompts, list ops)
  • server.use('mcp:*', fn) - Catch-all MCP middleware
  • server.use(fn) - HTTP middleware (Hono)

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02

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能力概览

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.78%
按下载量换算23,130

Claude

29.66%
按下载量换算20,928

Cursor

18.69%
按下载量换算13,188

Gemini CLI

9.97%
按下载量换算7,035

安全审计

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Snyk

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