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PedidosYa MCP Server for Vercel AI SDK 14 tools — connect in under 2 minutes

Built by Vinkius GDPR 14 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PedidosYa through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using PedidosYa, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
PedidosYa
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About PedidosYa MCP Server

Connect your PedidosYa partner account to any AI agent and manage the full delivery lifecycle across Latin America's leading food delivery platform.

The Vercel AI SDK gives every PedidosYa tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Order Management — Receive, accept, reject, and mark orders as ready for pickup, all through natural conversation without touching the partner tablet
  • Menu Control — Toggle products on/off (sold out) and update prices in real-time on your live PedidosYa listing
  • Courier Logistics — Request on-demand PedidosYa couriers for B2B deliveries and track their GPS position in real-time
  • Venue Management — Query all your registered restaurants, their operating hours, preparation times, and marketplace performance
  • Webhook Automation — Configure event-driven webhooks for new orders, cancellations, and courier assignments

The PedidosYa MCP Server exposes 14 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect PedidosYa to Vercel AI SDK via MCP

Follow these steps to integrate the PedidosYa MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 14 tools from PedidosYa and passes them to the LLM

Why Use Vercel AI SDK with the PedidosYa MCP Server

Vercel AI SDK provides unique advantages when paired with PedidosYa through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same PedidosYa integration everywhere

03

Built-in streaming UI primitives let you display PedidosYa tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

PedidosYa + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the PedidosYa MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query PedidosYa in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate PedidosYa tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed PedidosYa capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with PedidosYa through natural language queries

PedidosYa MCP Tools for Vercel AI SDK (14)

These 14 tools become available when you connect PedidosYa to Vercel AI SDK via MCP:

01

accept_order

Once accepted, the restaurant commits to preparing the items within the estimated preparation time. The PedidosYa system will begin assigning a delivery courier. Accept a pending order

02

create_webhook

g., new_order, order_cancelled, courier_assigned, order_delivered). Create a new webhook subscription

03

get_order

Get full details of a specific order

04

get_restaurant

Get details of a specific restaurant

05

list_menu_sections

g., Entradas, Platos Principales, Bebidas, Postres). Each section contains its products with prices, descriptions, and availability status. List menu sections and products for a restaurant

06

list_orders

Filter by status to find pending orders requiring acceptance, orders being prepared, orders ready for pickup, or completed deliveries. List incoming orders

07

list_restaurants

Each venue includes its operating status, delivery radius, and current open/closed state. List your partner restaurants

08

list_webhooks

). List configured webhooks

09

mark_order_ready

This triggers the courier dispatch if one hasn't already arrived. Mark an order as ready for courier pickup

10

reject_order

Valid rejection reasons include: out_of_stock, closing_soon, too_busy, item_unavailable. Frequent rejections may affect your venue's ranking on the platform. Reject a pending order

11

request_courier

Used for scheduling on-demand courier pickups, ideal for B2B deliveries outside the regular order flow. Specify the pickup and dropoff addresses and package details. Request a PedidosYa courier for a delivery

12

track_shipment

Track a courier shipment in real-time

13

update_product_price

Price changes take effect immediately on the marketplace listing. The price should be in the local currency of the venue's country. Update the price of a menu product

14

update_product_status

Use this to mark items as temporarily unavailable (sold out) or to bring them back online without editing the full menu. Toggle a menu product on or off

Example Prompts for PedidosYa in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with PedidosYa immediately.

01

"Show me all pending orders for my restaurant."

02

"Mark the Chocotorta as sold out on restaurant ID R-4421."

03

"Request a courier to pick up a package from Av. 18 de Julio 1234, Montevideo and deliver to Rambla Wilson 500."

Troubleshooting PedidosYa MCP Server with Vercel AI SDK

Common issues when connecting PedidosYa to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

PedidosYa + Vercel AI SDK FAQ

Common questions about integrating PedidosYa MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect PedidosYa to Vercel AI SDK

Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.