docs: improve main README with better quick start, include examples of stateless HTTP, explain tools v resources v prompts (#980)

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README.md
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@ -1,6 +1,7 @@
# MCP TypeScript SDK ![NPM Version](https://img.shields.io/npm/v/%40modelcontextprotocol%2Fsdk) ![MIT licensed](https://img.shields.io/npm/l/%40modelcontextprotocol%2Fsdk)
## Table of Contents
<details>
<summary>Table of Contents</summary>
- [Overview](#overview)
- [Installation](#installation)
@ -30,14 +31,16 @@
- [Contributing](#contributing)
- [License](#license)
</details>
## Overview
The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. This TypeScript SDK implements the full MCP specification, making it easy to:
The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction. This TypeScript SDK implements
[the full MCP specification](https://modelcontextprotocol.io/specification/latest), making it easy to:
- Build MCP clients that can connect to any MCP server
- Create MCP servers that expose resources, prompts and tools
- Build MCP clients that can connect to any MCP server
- Use standard transports like stdio and Streamable HTTP
- Handle all MCP protocol messages and lifecycle events
## Installation
@ -45,15 +48,14 @@ The Model Context Protocol allows applications to provide context for LLMs in a
npm install @modelcontextprotocol/sdk
```
> ⚠️ MCP requires Node.js v18.x or higher to work fine.
## Quick Start
Let's create a simple MCP server that exposes a calculator tool and some data:
Let's create a simple MCP server that exposes a calculator tool and some data. Save the following as `server.ts`:
```typescript
import { McpServer, ResourceTemplate } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { StreamableHTTPServerTransport } from '@modelcontextprotocol/sdk/server/streamableHttp.js';
import express from 'express';
import { z } from 'zod';
// Create an MCP server
@ -68,11 +70,16 @@ server.registerTool(
{
title: 'Addition Tool',
description: 'Add two numbers',
inputSchema: { a: z.number(), b: z.number() }
inputSchema: { a: z.number(), b: z.number() },
outputSchema: { result: z.number() }
},
async ({ a, b }) => ({
content: [{ type: 'text', text: String(a + b) }]
})
async ({ a, b }) => {
const output = { result: a + b };
return {
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
// Add a dynamic greeting resource
@ -93,19 +100,44 @@ server.registerResource(
})
);
// Start receiving messages on stdin and sending messages on stdout
const transport = new StdioServerTransport();
await server.connect(transport);
// Set up Express and HTTP transport
const app = express();
app.use(express.json());
app.post('/mcp', async (req, res) => {
// Create a new transport for each request to prevent request ID collisions
const transport = new StreamableHTTPServerTransport({
sessionIdGenerator: undefined,
enableJsonResponse: true
});
res.on('close', () => {
transport.close();
});
await server.connect(transport);
await transport.handleRequest(req, res, req.body);
});
const port = parseInt(process.env.PORT || '3000');
app.listen(port, () => {
console.log(`Demo MCP Server running on http://localhost:${port}/mcp`);
}).on('error', error => {
console.error('Server error:', error);
process.exit(1);
});
```
## What is MCP?
Install the deps with `npm install @modelcontextprotocol/sdk express zod@3`, and run with `npx -y tsx server.ts`.
The [Model Context Protocol (MCP)](https://modelcontextprotocol.io) lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. Think of it like a web API, but specifically designed for LLM interactions. MCP servers can:
You can connect to it using any MCP client that supports streamable http, such as:
- Expose data through **Resources** (think of these sort of like GET endpoints; they are used to load information into the LLM's context)
- Provide functionality through **Tools** (sort of like POST endpoints; they are used to execute code or otherwise produce a side effect)
- Define interaction patterns through **Prompts** (reusable templates for LLM interactions)
- And more!
- [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector): `npx @modelcontextprotocol/inspector` and connect to the streamable HTTP URL `http://localhost:3000/mcp`
- [Claude Code](https://docs.claude.com/en/docs/claude-code/mcp): `claude mcp add --transport http my-server http://localhost:3000/mcp`
- [VS Code](https://code.visualstudio.com/docs/copilot/customization/mcp-servers): `code --add-mcp "{\"name\":\"my-server\",\"type\":\"http\",\"url\":\"http://localhost:3000/mcp\"}"`
- [Cursor](https://cursor.com/docs/context/mcp): Click [this deeplink](cursor://anysphere.cursor-deeplink/mcp/install?name=my-server&config=eyJ1cmwiOiJodHRwOi8vbG9jYWxob3N0OjMwMDAvbWNwIn0%3D)
Then try asking your agent to add two numbers using its new tool!
## Core Concepts
@ -120,9 +152,112 @@ const server = new McpServer({
});
```
### Tools
[Tools](https://modelcontextprotocol.io/specification/latest/server/tools) let LLMs take actions through your server. Tools can perform computation, fetch data and have side effects. Tools should be designed to be model-controlled - i.e. AI models will decide which tools to call,
and the arguments.
```typescript
// Simple tool with parameters
server.registerTool(
'calculate-bmi',
{
title: 'BMI Calculator',
description: 'Calculate Body Mass Index',
inputSchema: {
weightKg: z.number(),
heightM: z.number()
},
outputSchema: { bmi: z.number() }
},
async ({ weightKg, heightM }) => {
const output = { bmi: weightKg / (heightM * heightM) };
return {
content: [
{
type: 'text',
text: JSON.stringify(output)
}
],
structuredContent: output
};
}
);
// Async tool with external API call
server.registerTool(
'fetch-weather',
{
title: 'Weather Fetcher',
description: 'Get weather data for a city',
inputSchema: { city: z.string() },
outputSchema: { temperature: z.number(), conditions: z.string() }
},
async ({ city }) => {
const response = await fetch(`https://api.weather.com/${city}`);
const data = await response.json();
const output = { temperature: data.temp, conditions: data.conditions };
return {
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
// Tool that returns ResourceLinks
server.registerTool(
'list-files',
{
title: 'List Files',
description: 'List project files',
inputSchema: { pattern: z.string() },
outputSchema: {
count: z.number(),
files: z.array(z.object({ name: z.string(), uri: z.string() }))
}
},
async ({ pattern }) => {
const output = {
count: 2,
files: [
{ name: 'README.md', uri: 'file:///project/README.md' },
{ name: 'index.ts', uri: 'file:///project/src/index.ts' }
]
};
return {
content: [
{ type: 'text', text: JSON.stringify(output) },
// ResourceLinks let tools return references without file content
{
type: 'resource_link',
uri: 'file:///project/README.md',
name: 'README.md',
mimeType: 'text/markdown',
description: 'A README file'
},
{
type: 'resource_link',
uri: 'file:///project/src/index.ts',
name: 'index.ts',
mimeType: 'text/typescript',
description: 'An index file'
}
],
structuredContent: output
};
}
);
```
#### ResourceLinks
Tools can return `ResourceLink` objects to reference resources without embedding their full content. This can be helpful for performance when dealing with large files or many resources - clients can then selectively read only the resources they need using the provided URIs.
### Resources
Resources are how you expose data to LLMs. They're similar to GET endpoints in a REST API - they provide data but shouldn't perform significant computation or have side effects:
[Resources](https://modelcontextprotocol.io/specification/latest/server/resources) can also expose data to LLMs, but unlike tools shouldn't perform significant computation or have side effects.
Resources are designed to be used in an application-driven way, meaning MCP client applications can decide how to expose them. For example, a client could expose a resource picker to the human, or could expose them to the model directly.
```typescript
// Static resource
@ -192,87 +327,9 @@ server.registerResource(
);
```
### Tools
Tools let LLMs take actions through your server. Unlike resources, tools are expected to perform computation and have side effects:
```typescript
// Simple tool with parameters
server.registerTool(
'calculate-bmi',
{
title: 'BMI Calculator',
description: 'Calculate Body Mass Index',
inputSchema: {
weightKg: z.number(),
heightM: z.number()
}
},
async ({ weightKg, heightM }) => ({
content: [
{
type: 'text',
text: String(weightKg / (heightM * heightM))
}
]
})
);
// Async tool with external API call
server.registerTool(
'fetch-weather',
{
title: 'Weather Fetcher',
description: 'Get weather data for a city',
inputSchema: { city: z.string() }
},
async ({ city }) => {
const response = await fetch(`https://api.weather.com/${city}`);
const data = await response.text();
return {
content: [{ type: 'text', text: data }]
};
}
);
// Tool that returns ResourceLinks
server.registerTool(
'list-files',
{
title: 'List Files',
description: 'List project files',
inputSchema: { pattern: z.string() }
},
async ({ pattern }) => ({
content: [
{ type: 'text', text: `Found files matching "${pattern}":` },
// ResourceLinks let tools return references without file content
{
type: 'resource_link',
uri: 'file:///project/README.md',
name: 'README.md',
mimeType: 'text/markdown',
description: 'A README file'
},
{
type: 'resource_link',
uri: 'file:///project/src/index.ts',
name: 'index.ts',
mimeType: 'text/typescript',
description: 'An index file'
}
]
})
);
```
#### ResourceLinks
Tools can return `ResourceLink` objects to reference resources without embedding their full content. This is essential for performance when dealing with large files or many resources - clients can then selectively read only the resources they need using the provided URIs.
### Prompts
Prompts are reusable templates that help LLMs interact with your server effectively:
[Prompts](https://modelcontextprotocol.io/specification/latest/server/prompts) are reusable templates that help humans prompt models to interact with your server. They're designed to be user-driven, and might appear as slash commands in a chat interface.
```typescript
import { completable } from '@modelcontextprotocol/sdk/server/completable.js';
@ -364,7 +421,7 @@ const result = await client.complete({
### Display Names and Metadata
All resources, tools, and prompts support an optional `title` field for better UI presentation. The `title` is used as a display name, while `name` remains the unique identifier.
All resources, tools, and prompts support an optional `title` field for better UI presentation. The `title` is used as a display name (e.g. 'Create a new issue'), while `name` remains the unique identifier (e.g. `create_issue`).
**Note:** The `register*` methods (`registerTool`, `registerPrompt`, `registerResource`) are the recommended approach for new code. The older methods (`tool`, `prompt`, `resource`) remain available for backwards compatibility.
@ -416,7 +473,8 @@ MCP servers can request LLM completions from connected clients that support samp
```typescript
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { StreamableHTTPServerTransport } from '@modelcontextprotocol/sdk/server/streamableHttp.js';
import express from 'express';
import { z } from 'zod';
const mcpServer = new McpServer({
@ -428,10 +486,12 @@ const mcpServer = new McpServer({
mcpServer.registerTool(
'summarize',
{
title: 'Text Summarizer',
description: 'Summarize any text using an LLM',
inputSchema: {
text: z.string().describe('Text to summarize')
}
},
outputSchema: { summary: z.string() }
},
async ({ text }) => {
// Call the LLM through MCP sampling
@ -448,24 +508,36 @@ mcpServer.registerTool(
maxTokens: 500
});
const summary = response.content.type === 'text' ? response.content.text : 'Unable to generate summary';
const output = { summary };
return {
content: [
{
type: 'text',
text: response.content.type === 'text' ? response.content.text : 'Unable to generate summary'
}
]
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
async function main() {
const transport = new StdioServerTransport();
await mcpServer.connect(transport);
console.error('MCP server is running...');
}
const app = express();
app.use(express.json());
main().catch(error => {
app.post('/mcp', async (req, res) => {
const transport = new StreamableHTTPServerTransport({
sessionIdGenerator: undefined,
enableJsonResponse: true
});
res.on('close', () => {
transport.close();
});
await mcpServer.connect(transport);
await transport.handleRequest(req, res, req.body);
});
const port = parseInt(process.env.PORT || '3000');
app.listen(port, () => {
console.log(`MCP Server running on http://localhost:${port}/mcp`);
}).on('error', error => {
console.error('Server error:', error);
process.exit(1);
});
@ -475,32 +547,92 @@ main().catch(error => {
MCP servers in TypeScript need to be connected to a transport to communicate with clients. How you start the server depends on the choice of transport:
### stdio
### Streamable HTTP
For command-line tools and direct integrations:
For remote servers, use the Streamable HTTP transport.
#### Without Session Management (Recommended)
For most use cases where session management isn't needed:
```typescript
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { StreamableHTTPServerTransport } from '@modelcontextprotocol/sdk/server/streamableHttp.js';
import express from 'express';
import { z } from 'zod';
const app = express();
app.use(express.json());
// Create the MCP server once (can be reused across requests)
const server = new McpServer({
name: 'example-server',
version: '1.0.0'
});
// ... set up server resources, tools, and prompts ...
// Set up your tools, resources, and prompts
server.registerTool(
'echo',
{
title: 'Echo Tool',
description: 'Echoes back the provided message',
inputSchema: { message: z.string() },
outputSchema: { echo: z.string() }
},
async ({ message }) => {
const output = { echo: `Tool echo: ${message}` };
return {
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
const transport = new StdioServerTransport();
await server.connect(transport);
app.post('/mcp', async (req, res) => {
// In stateless mode, create a new transport for each request to prevent
// request ID collisions. Different clients may use the same JSON-RPC request IDs,
// which would cause responses to be routed to the wrong HTTP connections if
// the transport state is shared.
try {
const transport = new StreamableHTTPServerTransport({
sessionIdGenerator: undefined,
enableJsonResponse: true
});
res.on('close', () => {
transport.close();
});
await server.connect(transport);
await transport.handleRequest(req, res, req.body);
} catch (error) {
console.error('Error handling MCP request:', error);
if (!res.headersSent) {
res.status(500).json({
jsonrpc: '2.0',
error: {
code: -32603,
message: 'Internal server error'
},
id: null
});
}
}
});
const port = parseInt(process.env.PORT || '3000');
app.listen(port, () => {
console.log(`MCP Server running on http://localhost:${port}/mcp`);
}).on('error', error => {
console.error('Server error:', error);
process.exit(1);
});
```
### Streamable HTTP
For remote servers, set up a Streamable HTTP transport that handles both client requests and server-to-client notifications.
#### With Session Management
In some cases, servers need to be stateful. This is achieved by [session management](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#session-management).
In some cases, servers need stateful sessions. This can be achieved by [session management](https://modelcontextprotocol.io/specification/2025-03-26/basic/transports#session-management) in the MCP protocol.
```typescript
import express from 'express';
@ -591,8 +723,6 @@ app.delete('/mcp', handleSessionRequest);
app.listen(3000);
```
> [!TIP] When using this in a remote environment, make sure to allow the header parameter `mcp-session-id` in CORS. Otherwise, it may result in a `Bad Request: No valid session ID provided` error. Read the following section for examples.
#### CORS Configuration for Browser-Based Clients
If you'd like your server to be accessible by browser-based MCP clients, you'll need to configure CORS headers. The `Mcp-Session-Id` header must be exposed for browser clients to access it:
@ -617,100 +747,6 @@ This configuration is necessary because:
- Browsers restrict access to response headers unless explicitly exposed via CORS
- Without this configuration, browser-based clients won't be able to read the session ID from initialization responses
#### Without Session Management (Stateless)
For simpler use cases where session management isn't needed:
```typescript
const app = express();
app.use(express.json());
app.post('/mcp', async (req: Request, res: Response) => {
// In stateless mode, create a new instance of transport and server for each request
// to ensure complete isolation. A single instance would cause request ID collisions
// when multiple clients connect concurrently.
try {
const server = getServer();
const transport: StreamableHTTPServerTransport = new StreamableHTTPServerTransport({
sessionIdGenerator: undefined
});
res.on('close', () => {
console.log('Request closed');
transport.close();
server.close();
});
await server.connect(transport);
await transport.handleRequest(req, res, req.body);
} catch (error) {
console.error('Error handling MCP request:', error);
if (!res.headersSent) {
res.status(500).json({
jsonrpc: '2.0',
error: {
code: -32603,
message: 'Internal server error'
},
id: null
});
}
}
});
// SSE notifications not supported in stateless mode
app.get('/mcp', async (req: Request, res: Response) => {
console.log('Received GET MCP request');
res.writeHead(405).end(
JSON.stringify({
jsonrpc: '2.0',
error: {
code: -32000,
message: 'Method not allowed.'
},
id: null
})
);
});
// Session termination not needed in stateless mode
app.delete('/mcp', async (req: Request, res: Response) => {
console.log('Received DELETE MCP request');
res.writeHead(405).end(
JSON.stringify({
jsonrpc: '2.0',
error: {
code: -32000,
message: 'Method not allowed.'
},
id: null
})
);
});
// Start the server
const PORT = 3000;
setupServer()
.then(() => {
app.listen(PORT, error => {
if (error) {
console.error('Failed to start server:', error);
process.exit(1);
}
console.log(`MCP Stateless Streamable HTTP Server listening on port ${PORT}`);
});
})
.catch(error => {
console.error('Failed to set up the server:', error);
process.exit(1);
});
```
This stateless approach is useful for:
- Simple API wrappers
- RESTful scenarios where each request is independent
- Horizontally scaled deployments without shared session state
#### DNS Rebinding Protection
The Streamable HTTP transport includes DNS rebinding protection to prevent security vulnerabilities. By default, this protection is **disabled** for backwards compatibility.
@ -727,6 +763,25 @@ const transport = new StreamableHTTPServerTransport({
});
```
### stdio
For local integrations spawned by another process, you can use the stdio transport:
```typescript
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
const server = new McpServer({
name: 'example-server',
version: '1.0.0'
});
// ... set up server resources, tools, and prompts ...
const transport = new StdioServerTransport();
await server.connect(transport);
```
### Testing and Debugging
To test your server, you can use the [MCP Inspector](https://github.com/modelcontextprotocol/inspector). See its README for more information.
@ -746,6 +801,23 @@ const server = new McpServer({
version: '1.0.0'
});
server.registerTool(
'echo',
{
title: 'Echo Tool',
description: 'Echoes back the provided message',
inputSchema: { message: z.string() },
outputSchema: { echo: z.string() }
},
async ({ message }) => {
const output = { echo: `Tool echo: ${message}` };
return {
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
server.registerResource(
'echo',
new ResourceTemplate('echo://{message}', { list: undefined }),
@ -763,18 +835,6 @@ server.registerResource(
})
);
server.registerTool(
'echo',
{
title: 'Echo Tool',
description: 'Echoes back the provided message',
inputSchema: { message: z.string() }
},
async ({ message }) => ({
content: [{ type: 'text', text: `Tool echo: ${message}` }]
})
);
server.registerPrompt(
'echo',
{
@ -851,19 +911,25 @@ server.registerTool(
{
title: 'SQL Query',
description: 'Execute SQL queries on the database',
inputSchema: { sql: z.string() }
inputSchema: { sql: z.string() },
outputSchema: {
rows: z.array(z.record(z.any())),
rowCount: z.number()
}
},
async ({ sql }) => {
const db = getDb();
try {
const results = await db.all(sql);
const output = { rows: results, rowCount: results.length };
return {
content: [
{
type: 'text',
text: JSON.stringify(results, null, 2)
text: JSON.stringify(output, null, 2)
}
]
],
structuredContent: output
};
} catch (err: unknown) {
const error = err as Error;
@ -889,8 +955,10 @@ server.registerTool(
If you want to offer an initial set of tools/prompts/resources, but later add additional ones based on user action or external state change, you can add/update/remove them _after_ the Server is connected. This will automatically emit the corresponding `listChanged` notifications:
```ts
```typescript
import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js';
import { StreamableHTTPServerTransport } from '@modelcontextprotocol/sdk/server/streamableHttp.js';
import express from 'express';
import { z } from 'zod';
const server = new McpServer({
@ -898,23 +966,64 @@ const server = new McpServer({
version: '1.0.0'
});
const listMessageTool = server.tool('listMessages', { channel: z.string() }, async ({ channel }) => ({
content: [{ type: 'text', text: await listMessages(channel) }]
}));
const listMessageTool = server.registerTool(
'listMessages',
{
title: 'List Messages',
description: 'List messages in a channel',
inputSchema: { channel: z.string() },
outputSchema: { messages: z.array(z.string()) }
},
async ({ channel }) => {
const messages = await listMessages(channel);
const output = { messages };
return {
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
const putMessageTool = server.tool('putMessage', { channel: z.string(), message: z.string() }, async ({ channel, message }) => ({
content: [{ type: 'text', text: await putMessage(channel, message) }]
}));
const putMessageTool = server.registerTool(
'putMessage',
{
title: 'Put Message',
description: 'Send a message to a channel',
inputSchema: { channel: z.string(), message: z.string() },
outputSchema: { success: z.boolean() }
},
async ({ channel, message }) => {
await putMessage(channel, message);
const output = { success: true };
return {
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
// Until we upgrade auth, `putMessage` is disabled (won't show up in listTools)
putMessageTool.disable();
const upgradeAuthTool = server.tool(
const upgradeAuthTool = server.registerTool(
'upgradeAuth',
{ permission: z.enum(['write', 'admin']) },
{
title: 'Upgrade Authorization',
description: 'Upgrade user authorization level',
inputSchema: { permission: z.enum(['write', 'admin']) },
outputSchema: {
success: z.boolean(),
newPermission: z.string()
}
},
// Any mutations here will automatically emit `listChanged` notifications
async ({ permission }) => {
const { ok, err, previous } = await upgradeAuthAndStoreToken(permission);
if (!ok) return { content: [{ type: 'text', text: `Error: ${err}` }] };
if (!ok) {
return {
content: [{ type: 'text', text: `Error: ${err}` }],
isError: true
};
}
// If we previously had read-only access, 'putMessage' is now available
if (previous === 'read') {
@ -931,12 +1040,37 @@ const upgradeAuthTool = server.tool(
// If we're now an admin, we no longer have anywhere to upgrade to, so fully remove that tool
upgradeAuthTool.remove();
}
const output = { success: true, newPermission: permission };
return {
content: [{ type: 'text', text: JSON.stringify(output) }],
structuredContent: output
};
}
);
// Connect as normal
const transport = new StdioServerTransport();
await server.connect(transport);
// Connect with HTTP transport
const app = express();
app.use(express.json());
app.post('/mcp', async (req, res) => {
const transport = new StreamableHTTPServerTransport({
sessionIdGenerator: undefined,
enableJsonResponse: true
});
res.on('close', () => {
transport.close();
});
await server.connect(transport);
await transport.handleRequest(req, res, req.body);
});
const port = parseInt(process.env.PORT || '3000');
app.listen(port, () => {
console.log(`MCP Server running on http://localhost:${port}/mcp`);
});
```
### Improving Network Efficiency with Notification Debouncing
@ -1043,12 +1177,27 @@ MCP servers can request additional information from users through the elicitatio
```typescript
// Server-side: Restaurant booking tool that asks for alternatives
server.tool(
server.registerTool(
'book-restaurant',
{
restaurant: z.string(),
date: z.string(),
partySize: z.number()
title: 'Book Restaurant',
description: 'Book a table at a restaurant',
inputSchema: {
restaurant: z.string(),
date: z.string(),
partySize: z.number()
},
outputSchema: {
success: z.boolean(),
booking: z
.object({
restaurant: z.string(),
date: z.string(),
partySize: z.number()
})
.optional(),
alternatives: z.array(z.string()).optional()
}
},
async ({ restaurant, date, partySize }) => {
// Check availability
@ -1080,35 +1229,44 @@ server.tool(
if (result.action === 'accept' && result.content?.checkAlternatives) {
const alternatives = await findAlternatives(restaurant, date, partySize, result.content.flexibleDates as string);
const output = { success: false, alternatives };
return {
content: [
{
type: 'text',
text: `Found these alternatives: ${alternatives.join(', ')}`
text: JSON.stringify(output)
}
]
],
structuredContent: output
};
}
const output = { success: false };
return {
content: [
{
type: 'text',
text: 'No booking made. Original date not available.'
text: JSON.stringify(output)
}
]
],
structuredContent: output
};
}
// Book the table
await makeBooking(restaurant, date, partySize);
const output = {
success: true,
booking: { restaurant, date, partySize }
};
return {
content: [
{
type: 'text',
text: `Booked table for ${partySize} at ${restaurant} on ${date}`
text: JSON.stringify(output)
}
]
],
structuredContent: output
};
}
);