Can my AI agent accept or reject incoming orders automatically?

Yes! Use `accept_order` to confirm an incoming order or `reject_order` with a reason (out_of_stock, closing_soon, too_busy, item_unavailable). Once accepted, the PedidosYa system begins assigning a delivery courier. When ready, use `mark_order_ready` to signal the courier for pickup.

How do I mark items as sold out on my live menu?

Use the `update_product_status` tool with the restaurant ID, product ID, and set `available` to false. The product will immediately show as unavailable on PedidosYa. To bring it back, call the same tool with `available` set to true.

Can I request a courier for deliveries outside of food orders?

Yes! Use the `request_courier` tool to create a shipment request with pickup and dropoff addresses. This leverages PedidosYa's logistics network for B2B courier services, independent of restaurant orders. Track the courier in real-time with `track_shipment`.

PedidosYa MCP Server for VS Code Copilot 14 tools — connect in under 2 minutes

Name: PedidosYa
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 14 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install PedidosYa and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "pedidosya": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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.

GitHub Copilot Agent mode brings PedidosYa data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 14 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the PedidosYa MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using PedidosYa

Ask Copilot: "Using PedidosYa, help me...". 14 tools available

Why Use VS Code Copilot with the PedidosYa MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with PedidosYa through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

PedidosYa + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the PedidosYa MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

PedidosYa MCP Tools for VS Code Copilot (14)

These 14 tools become available when you connect PedidosYa to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting PedidosYa to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

PedidosYa + VS Code Copilot FAQ

Common questions about integrating PedidosYa MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.