PedidosYa MCP Server for Mastra AI 14 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect PedidosYa through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pedidosya": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "PedidosYa Agent",
instructions:
"You help users interact with PedidosYa " +
"using 14 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with PedidosYa?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and PedidosYa tool infrastructure. Connect 14 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the PedidosYa MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 14 tools from PedidosYa via MCP
Why Use Mastra AI with the PedidosYa MCP Server
Mastra AI provides unique advantages when paired with PedidosYa through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add PedidosYa without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every PedidosYa tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
PedidosYa + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the PedidosYa MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query PedidosYa, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed PedidosYa as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query PedidosYa on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using PedidosYa tools alongside other MCP servers
PedidosYa MCP Tools for Mastra AI (14)
These 14 tools become available when you connect PedidosYa to Mastra AI via MCP:
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
create_webhook
g., new_order, order_cancelled, courier_assigned, order_delivered). Create a new webhook subscription
get_order
Get full details of a specific order
get_restaurant
Get details of a specific restaurant
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
list_orders
Filter by status to find pending orders requiring acceptance, orders being prepared, orders ready for pickup, or completed deliveries. List incoming orders
list_restaurants
Each venue includes its operating status, delivery radius, and current open/closed state. List your partner restaurants
list_webhooks
). List configured webhooks
mark_order_ready
This triggers the courier dispatch if one hasn't already arrived. Mark an order as ready for courier pickup
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
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
track_shipment
Track a courier shipment in real-time
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
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 Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with PedidosYa immediately.
"Show me all pending orders for my restaurant."
"Mark the Chocotorta as sold out on restaurant ID R-4421."
"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 Mastra AI
Common issues when connecting PedidosYa to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPedidosYa + Mastra AI FAQ
Common questions about integrating PedidosYa MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect PedidosYa with your favorite client
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PedidosYa to Mastra AI
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.