mcp-builder
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, deploying MCP servers, or when user mentions MCP development, MCP tools, MCP resources, or MCP prompts.
Works with
---
name: mcp-builder
description: 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, deploying MCP servers, or when user mentions MCP development, MCP tools, MCP resources, or MCP prompts.
license: Apache-2.0
---
# MCP Server Builder
Build production-ready MCP servers with the mcp-use framework. This Skill provides quick-start instructions and best practices for creating MCP servers.
## Quick Start
**Always bootstrap with `npx create-mcp-use-app`:**
```bash
npx create-mcp-use-app my-mcp-server
cd my-mcp-server
```
**Choose template based on needs:**
- `--template starter` - Full-featured with all MCP primitives (tools, resources, prompts) + example widgets
- `--template mcp-apps` - Optimized for ChatGPT widgets with product search example
- `--template blank` - Minimal starting point for custom implementation
```bash
# Example: MCP Apps template
npx create-mcp-use-app my-server --template mcp-apps
cd my-server
yarn install
```
**Template Details:**
- **starter**: Best for learning - includes all MCP features plus widgets
- **mcp-apps**: Best for ChatGPT apps - includes product carousel/accordion example
- **blank**: Best for experts - minimal boilerplate
## MCP Apps Structure
### Automatic Widget Registration
The mcp-apps and starter templates automatically discover and register React widgets from the `resources/` folder:
**Single-file widget pattern:**
```
resources/
└── weather-display.tsx # Widget name becomes "weather-display"
```
**Folder-based widget pattern:**
```
resources/
└── product-search/ # Widget name becomes "product-search"
├── widget.tsx # Entry point (required name!)
├── components/ # Sub-components
├── hooks/ # Custom hooks
├── types.ts
└── constants.ts
```
**What happens automatically:**
1. Server scans `resources/` folder at startup
2. Finds `.tsx` files or `widget.tsx` in folders
3. Extracts `widgetMetadata` from each component
4. Registers as MCP Tool (e.g., `weather-display`)
5. Registers as MCP Resource (e.g., `ui://widget/weather-display.html`)
6. Builds widget bundles with Vite
**No manual registration needed!** Just export `widgetMetadata` and a default component.
## Defining Tools
Tools are executable functions that AI models can call:
```typescript
import { MCPServer, text, object } from "mcp-use/server";
import { z } from "zod";
const server = new MCPServer({
name: "my-server",
version: "1.0.0",
description: "My MCP server"
});
// Simple tool
server.tool(
{
name: "greet-user",
description: "Greet a user by name",
schema: z.object({
name: z.string().describe("The user's name"),
formal: z.boolean().optional().describe("Use formal greeting")
})
},
async ({ name, formal }) => {
const greeting = formal ? `Good day, ${name}` : `Hey ${name}!`;
return text(greeting);
}
);
```
**Key points:**
- Use Zod for schema validation
- Add `.describe()` to all parameters
- Return appropriate response types (text, object, widget)
## Defining Resources
Resources expose data that clients can read:
```typescript
import { object, text, markdown } from "mcp-use/server";
// Static resource
server.resource(
{
uri: "config://settings",
name: "Application Settings",
description: "Current configuration",
mimeType: "application/json"
},
async () => {
return object({
theme: "dark",
version: "1.0.0"
});
}
);
// Dynamic resource
server.resource(
{
uri: "stats://current",
name: "Current Stats",
description: "Real-time statistics",
mimeType: "application/json"
},
async () => {
const stats = await getStats();
return object(stats);
}
);
// Markdown resource
server.resource(
{
uri: "docs://guide",
name: "User Guide",
description: "Documentation",
mimeType: "text/markdown"
},
async () => {
return markdown("# Guide\n\nWelcome!");
}
);
```
**Response helpers available:**
- `text(string)` - Plain text
- `object(data)` - JSON objects
- `markdown(string)` - Markdown content
- `html(string)` - HTML content
- `image(buffer, mimeType)` - Binary images
- `audio(buffer, mimeType)` - Audio files
- `binary(buffer, mimeType)` - Binary data
- `mix(...contents)` - Combine multiple content types
**Advanced response examples:**
```typescript
// Audio response
import { audio } from 'mcp-use/server';
// From base64 data
return audio(base64Data, "audio/wav");
// From file path (async)
return await audio("/path/to/audio.mp3");
// Binary data (PDFs, etc.)
import { binary } from 'mcp-use/server';
return binary(pdfBuffer, "application/pdf");
// Mix multiple content types
import { mix, text, object, resource } from 'mcp-use/server';
return mix(
text("Analysis complete:"),
object({ score: 95, status: "pass" }),
resource("report://analysis-123", text("Full report..."))
);
```
## Defining Prompts
Prompts are reusable templates for AI interactions:
```typescript
server.prompt(
{
name: "code-review",
description: "Generate a code review template",
schema: z.object({
language: z.string().describe("Programming language"),
focusArea: z.string().optional().describe("Specific focus area")
})
},
async ({ language, focusArea }) => {
const focus = focusArea ? ` with focus on ${focusArea}` : "";
return {
messages: [
{
role: "user",
content: {
type: "text",
text: `Please review this ${language} code${focus}.`
}
}
]
};
}
);
```
## Testing Locally
**Development mode (hot reload):**
```bash
yarn dev
```
**Production mode:**
```bash
yarn build
yarn start
```
**Inspector UI:**
Access at `http://localhost:3000/inspector` to test tools, view resources, and try prompts.
**Tunneling (test with ChatGPT before deploying):**
Option 1 - Auto-tunnel:
```bash
mcp-use start --port 3000 --tunnel
```
Option 2 - Separate tunnel:
```bash
yarn start # Terminal 1
npx @mcp-use/tunnel 3000 # Terminal 2
```
You'll get a public URL like `https://happy-cat.local.mcp-use.run/mcp`
**Tunnel details:**
- Expires after 24 hours
- Closes after 1 hour of inactivity
- Rate limit: 10 creations/hour, max 5 active per IP
Learn more: https://mcp-use.com/docs/tunneling
## Deployment
**Deploy to mcp-use Cloud (recommended):**
```bash
# Login first (if not already)
npx mcp-use login
# Deploy
yarn deploy
```
**If authentication error:**
```bash
npx mcp-use login
yarn deploy
```
**After deployment:**
- Public URL provided (e.g., `https://your-server.mcp-use.com/mcp`)
- Auto-scaled and monitored
- HTTPS enabled
- Zero-downtime deployments
## Best Practices
**Tool Design:**
- ✅ One tool = one focused capability
- ✅ Descriptive names and descriptions
- ✅ Use `.describe()` on all Zod fields
- ✅ Handle errors gracefully
- ✅ Return helpful error messages
**Resource Design:**
- ✅ Use clear URI schemes (config://, docs://, stats://)
- ✅ Choose appropriate MIME types
- ✅ Use response helpers for cleaner code
- ✅ Make resources dynamic when needed
**Prompt Design:**
- ✅ Keep prompts reusable
- ✅ Use system messages for context
- ✅ Parameterize with Zod schemas
- ✅ Include clear instructions
**Testing:**
- ✅ Test with Inspector UI first
- ✅ Use tunneling to test with real clients before deploying
- ✅ Verify all tools, resources, and prompts work as expected
**Deployment:**
- ✅ Test locally and with tunneling first
- ✅ Run `npx mcp-use login` if deploy fails
- ✅ Version your server semantically
- ✅ Document breaking changes
## Widget Support
### Automatic Widget Registration
When using the `mcp-apps` or `starter` template, widgets in the `resources/` folder are automatically registered:
```tsx
// resources/weather-display.tsx
import { useWidget, McpUseProvider, type WidgetMetadata } from 'mcp-use/react';
import { z } from 'zod';
const propSchema = z.object({
city: z.string(),
temperature: z.number()
});
// Required: Export widget metadata
export const widgetMetadata: WidgetMetadata = {
description: "Display weather information",
props: propSchema, // Use 'props', not 'schema'!
};
// Required: Export default component
export default function WeatherDisplay() {
const { props, isPending } = useWidget<z.infer<typeof propSchema>>();
// Always handle loading state
if (isPending) return <div>Loading...</div>;
return (
<McpUseProvider autoSize>
<div>
<h2>{props.city}</h2>
<p>{props.temperature}°C</p>
</div>
</McpUseProvider>
);
}
```
**Widget automatically becomes available as:**
- MCP Tool: `weather-display`
- MCP Resource: `ui://widget/weather-display.html`
### Content Security Policy (CSP)
Control what external resources widgets can access:
```typescript
export const widgetMetadata: WidgetMetadata = {
description: "Weather widget",
props: z.object({ city: z.string() }),
metadata: {
csp: {
// APIs to call
connectDomains: ["https://api.weather.com"],
// Static assets to load
resourceDomains: ["https://cdn.weather.com"],
// Iframes to embed
frameDomains: ["https://embed.weather.com"],
// Script directives
scriptDirectives: ["'unsafe-inline'"],
},
},
};
```
Alternatively, set at server level:
```typescript
server.uiResource({
type: "mcpApps",
name: "my-widget",
htmlTemplate: `...`,
metadata: {
csp: {
connectDomains: ["https://api.example.com"],
resourceDomains: ["https://cdn.example.com"],
},
},
});
```
## Dual-Protocol Widget Support
mcp-use supports the **MCP Apps standard** (SEP-1865) with automatic dual-protocol support:
```typescript
import { MCPServer } from 'mcp-use/server';
const server = new MCPServer({
name: 'my-server',
version: '1.0.0',
baseUrl: process.env.MCP_URL || 'http://localhost:3000', // Required for widgets
});
// Register a dual-protocol widget
server.uiResource({
type: "mcpApps", // Works with BOTH MCP Apps clients AND ChatGPT
name: "weather-display",
htmlTemplate: `<!DOCTYPE html>...`,
metadata: {
csp: { connectDomains: ["https://api.weather.com"] },
prefersBorder: true,
autoResize: true,
},
});
```
**What happens automatically:**
- **MCP Apps clients** (Claude, Goose) receive: `text/html;profile=mcp-app` with `_meta.ui.*`
- **ChatGPT** receives: `text/html+skybridge` with `_meta.openai/*`
- Same widget code works everywhere!
### Custom OpenAI Metadata
Need ChatGPT-specific features? Combine both metadata fields:
```typescript
server.uiResource({
type: "mcpApps",
name: "my-widget",
htmlTemplate: `...`,
// Unified metadata (dual-protocol)
metadata: {
csp: { connectDomains: ["https://api.example.com"] },
prefersBorder: true,
},
// ChatGPT-specific overrides
appsSdkMetadata: {
"openai/widgetDescription": "ChatGPT-specific description",
"openai/customFeature": "some-value", // Any custom OpenAI metadata
},
});
```
## Project Structure
```
my-mcp-server/
├── resources/ # React widgets (apps-sdk)
│ └── widget.tsx
├── public/ # Static assets
├── index.ts # Server entry point
├── package.json
├── tsconfig.json
└── README.md
```
## Common Patterns
**Tool with dual-protocol widget:**
```typescript
import { MCPServer, widget, text } from 'mcp-use/server';
import { z } from 'zod';
const server = new MCPServer({
name: 'my-server',
version: '1.0.0',
baseUrl: process.env.MCP_URL || 'http://localhost:3000',
});
server.tool(
{
name: "show-data",
description: "Display data with visualization",
schema: z.object({
query: z.string()
}),
widget: {
name: "data-display", // Must exist in resources/
invoking: "Loading...",
invoked: "Data loaded"
}
},
async ({ query }) => {
const data = await fetchData(query);
return widget({
props: { data },
output: text(`Found ${data.length} results`)
});
}
);
```
**Resource template (parameterized):**
```typescript
server.resourceTemplate(
{
uriTemplate: "user://{userId}/profile",
name: "User Profile",
description: "Get user by ID",
mimeType: "application/json"
},
async ({ userId }) => {
const user = await fetchUser(userId);
return object(user);
}
);
```
**Error handling:**
```typescript
server.tool(
{
name: "divide",
schema: z.object({
a: z.number(),
b: z.number()
})
},
async ({ a, b }) => {
if (b === 0) {
return text("Error: Cannot divide by zero");
}
return text(`Result: ${a / b}`);
}
);
```
## Detailed Examples
For comprehensive examples and advanced patterns, connect to the **mcp-use MCP server** which provides:
- Complete example resources for all primitives
- Full working server examples
- Detailed documentation
- Interactive widgets showcase
## Learn More
- **Documentation**: https://docs.mcp-use.com
- **MCP Apps Standard**: https://docs.mcp-use.com/typescript/server/mcp-apps (dual-protocol guide)
- **Templates**: https://docs.mcp-use.com/typescript/server/templates (template comparison)
- **Widget Guide**: https://docs.mcp-use.com/typescript/server/ui-widgets
- **Examples**: https://github.com/mcp-use/mcp-use/tree/main/examples
- **Tunneling Guide**: https://mcp-use.com/docs/tunneling
- **Discord**: https://mcp-use.com/discord
- **GitHub**: https://github.com/mcp-use/mcp-use
## Quick Reference
**Commands:**
- `npx create-mcp-use-app my-server` - Bootstrap
- `yarn dev` - Development mode
- `yarn build` - Build for production
- `yarn start` - Run production server
- `mcp-use start --tunnel` - Start with tunnel
- `npx mcp-use login` - Authenticate
- `yarn deploy` - Deploy to cloud
**Response helpers:**
- `text(str)`, `object(data)`, `markdown(str)`, `html(str)`
- `image(buf, mime)`, `audio(buf, mime)`, `binary(buf, mime)`
- `mix(...)` - Combine multiple content types
- `widget({ props, output })` - Return widget with data
**Server methods:**
- `server.tool()` - Define executable tool
- `server.resource()` - Define static/dynamic resource
- `server.resourceTemplate()` - Define parameterized resource
- `server.prompt()` - Define prompt template
- `server.uiResource()` - Define widget resource
- `server.listen()` - Start server
**Widget metadata fields:**
- `description` - Widget description
- `props` - Zod schema for widget props
- `metadata` - Unified config (dual-protocol)
- `metadata.csp` - Content Security Policy
- `appsSdkMetadata` - ChatGPT-specific overrides
**Available templates:**
- `starter` - Full-featured (tools, resources, prompts, widgets)
- `mcp-apps` - ChatGPT-optimized with product example
- `blank` - Minimal boilerplateMore AI & ML skills
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