Uber Eats MCP Server for Windsurf 14 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Uber Eats through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Uber Eats and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"uber-eats": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Uber Eats MCP Server
What you can do
Connect AI agents to the Uber Eats Marketplace API for complete restaurant and delivery management:
Windsurf's Cascade agent chains multiple Uber Eats tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 14 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
- Monitor incoming orders in real-time with status tracking (PENDING → ACCEPTED → PREPARING → READY → DELIVERED)
- Accept or reject orders instantly based on kitchen capacity
- Manage restaurant menus — update prices, availability, descriptions, dietary tags
- Review order details including customer info, items, special instructions, and totals
- Track delivery status with real-time courier GPS location and ETA
- Handle order issues including customer complaints and refund requests
- View store information and configuration across all registered locations
- Mark orders ready for courier pickup when food is prepared
The Uber Eats MCP Server exposes 14 tools through the Vinkius. Connect it to Windsurf 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 Uber Eats to Windsurf via MCP
Follow these steps to integrate the Uber Eats MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Uber Eats
Open Cascade and ask: "Using Uber Eats, help me...". 14 tools available
Why Use Windsurf with the Uber Eats MCP Server
Windsurf provides unique advantages when paired with Uber Eats through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 14 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Uber Eats + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Uber Eats MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Uber Eats and generate models, types, or handlers based on real API responses
Live debugging: query Uber Eats tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Uber Eats and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Uber Eats data with Cascade's code generation to scaffold entire features in minutes
Uber Eats MCP Tools for Windsurf (14)
These 14 tools become available when you connect Uber Eats to Windsurf via MCP:
accept_order
This notifies the customer that the restaurant is preparing their food and triggers courier assignment by Uber Eats. Required before marking order as ready for pickup. Use this to acknowledge incoming orders and begin food preparation. Should be done promptly to maintain good restaurant ratings. Accept a pending Uber Eats order to confirm preparation
cancel_order
This is different from rejection - cancellation happens after acceptance and may result in customer dissatisfaction and potential platform penalties. Requires a cancellation reason. Use only when absolutely necessary (kitchen emergency, safety issue, or unavoidable circumstance). Cancel an already accepted Uber Eats order
complete_order
This should be called after confirmation that the delivery was successful. Closes the order lifecycle and triggers final payment processing. Use this to confirm order completion. Mark an order as fully completed (delivered and finalized)
get_delivery_status
Use this to track delivery progress, answer customer inquiries about their order, or coordinate with couriers. Get real-time delivery tracking status for an Uber Eats order
get_menus
Use this to review menu structure, check which items are available/out of stock, or get menu item IDs needed for availability updates. Get complete menu catalog for a specific Uber Eats restaurant
get_order
Use this to review order contents before accepting, verify special instructions, or prepare items correctly. Get complete details of a specific Uber Eats delivery order
get_order_issues
Returns issue descriptions, timestamps, resolution status, and any refunds issued. Use this to review and address order problems, improve quality, and handle disputes proactively. Get reported issues and complaints for a specific Uber Eats order
get_orders
Can filter by status: PENDING (awaiting restaurant acceptance), ACCEPTED (restaurant confirmed), PREPARING (food being prepared), READY (ready for courier pickup), DELIVERED (completed), CANCELLED, or REJECTED. Returns order IDs, customer info, items ordered, totals, special instructions, and timestamps. Use this to monitor order flow, track pending orders requiring action, or review completed deliveries. List all orders for your Uber Eats restaurants with optional status filter
get_store
Use this to review store configuration, verify delivery settings, or check operational status. Get detailed information about a specific Uber Eats restaurant/store
get_stores
Returns external store IDs, names, addresses, operating status, and business details. Use this tool first to get your store IDs, which are required for all other menu and order management operations. List all restaurants/stores associated with your Uber Eats merchant account
mark_order_prep_started
Updates order status to PREPARING and notifies the customer. Use this to keep customers informed about their order progress and provide accurate delivery time estimates. Mark that food preparation has started for an accepted order
mark_order_ready
This triggers courier dispatch notification. Use this when food is complete and waiting for courier arrival. Couriers will be routed to your location for pickup. Mark order as ready for courier pickup (food is packaged and waiting)
reject_order
The customer is notified and refunded automatically. Provide a reason code: "item_unavailable" (key ingredients out of stock), "too_busy" (kitchen at capacity), "kitchen_closed" (outside operating hours), or "other". Use this when unable to fulfill an order. Excessive rejections may affect restaurant visibility on the platform. Reject a pending Uber Eats order when unable to fulfill it
update_menu_item_availability
Set available=true to mark item as in-stock and orderable, or available=false to mark as out-of-stock. Common use: quickly mark items as unavailable when ingredients run out, then re-enable when restocked. Requires external store ID and menu item ID from get_menus result. Toggle availability status of a menu item (mark as in-stock or out-of-stock)
Example Prompts for Uber Eats in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Uber Eats immediately.
"Show me all pending orders and accept them automatically"
"Update the price of 'Margherita Pizza' to R$45.90 and mark it as unavailable"
"Track the delivery status of order #12345 and tell me where the courier is"
Troubleshooting Uber Eats MCP Server with Windsurf
Common issues when connecting Uber Eats to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Uber Eats + Windsurf FAQ
Common questions about integrating Uber Eats MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Uber Eats with your favorite client
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Connect Uber Eats to Windsurf
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.