DoorDash Drive MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"doordash-drive": {
"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 DoorDash Drive MCP Server
Integrate DoorDash Drive, the white-label delivery fulfillment platform, directly into your AI workflow. Manage your inbound and outbound deliveries, track dasher assignments and real-time ETAs, request delivery quotes, and oversee your fulfillment operations using natural language.
Cursor's Agent mode turns DoorDash Drive into an in-editor superpower. Ask Cursor to generate code using live data from DoorDash Drive and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Delivery Oversight — List and retrieve detailed information and real-time status for all your DoorDash fulfillment requests.
- Logistics Intelligence — Monitor dasher assignments, live location telemetry, and accurate ETA boundaries for every delivery.
- Quoting & Planning — Request instant price and time-of-arrival quotes for potential deliveries based on geographic coordinates.
- Fulfillment Auditing — Retrieve high-level summaries of delivery activity, success rates, and active in-progress shipments.
The DoorDash Drive MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor 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 DoorDash Drive to Cursor via MCP
Follow these steps to integrate the DoorDash Drive MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using DoorDash Drive
Open Agent mode in chat and ask: "Using DoorDash Drive, help me...". 10 tools available
Why Use Cursor with the DoorDash Drive MCP Server
Cursor AI Code Editor provides unique advantages when paired with DoorDash Drive through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
DoorDash Drive + Cursor Use Cases
Practical scenarios where Cursor combined with the DoorDash Drive MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
DoorDash Drive MCP Tools for Cursor (10)
These 10 tools become available when you connect DoorDash Drive to Cursor via MCP:
cancel_active_delivery
Cancel a delivery that has not yet been picked up
create_new_delivery
Request a new DoorDash delivery (Drive v2)
get_delivery_details
Get detailed information and real-time status for a specific delivery
get_delivery_quote
Get a price and ETA quote for a potential delivery
get_doordash_developer_metadata
Retrieve metadata for the current authenticated developer account
list_doordash_deliveries
List all active and recent deliveries in your DoorDash Drive account
list_in_progress_deliveries
Identify deliveries that are currently in progress or out for delivery
list_latest_deliveries
Identify the most recently created or updated deliveries
quick_delivery_volume_audit
Retrieve a high-level summary of delivery activity and success rates
search_deliveries_by_external_id
Search for a delivery using your own external reference ID
Example Prompts for DoorDash Drive in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with DoorDash Drive immediately.
"List all deliveries currently in progress."
"Get a delivery quote from '123 Main St' to '456 Oak Ave'."
"Check the status of delivery 'D-998877'."
Troubleshooting DoorDash Drive MCP Server with Cursor
Common issues when connecting DoorDash Drive to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
DoorDash Drive + Cursor FAQ
Common questions about integrating DoorDash Drive MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect DoorDash Drive with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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 DoorDash Drive to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
