DoorDash Drive MCP. Manage last-mile tracking and quotes via chat.
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DoorDash Drive. Manage your entire last-mile logistics workflow using your AI agent. This server lets you request quotes, list all active deliveries, track real-time dasher locations, and create new orders directly from conversation.
It gives you full visibility into your fulfillment operations.
What your AI agents can do
Cancel active delivery
Cancels a specific delivery job that hasn't been picked up yet.
Create new delivery
Requests and initiates a brand new DoorDash delivery job.
Get delivery details
Retrieves detailed information and the current real-time status for a specific delivery.
The agent pulls specific details and the live status for any single DoorDash delivery ID.
The agent lists every active and recent delivery in your DoorDash Drive account.
The agent finds a delivery using an external ID you provide, bypassing the need for the internal DoorDash ID.
The agent calculates the cost and estimated time of arrival for a proposed route using start and end coordinates.
The agent submits a request to create a new DoorDash delivery job based on provided locations.
The agent identifies which deliveries are currently moving or out for pickup.
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DoorDash Drive MCP Server: 10 Tools for Logistics Operations
Use these tools to manage every stage of delivery fulfillment, from getting an initial price quote to tracking a package in real time.
019d7588cancel active delivery
Cancels a specific delivery job that hasn't been picked up yet.
019d7588create new delivery
Requests and initiates a brand new DoorDash delivery job.
019d7588get delivery details
Retrieves detailed information and the current real-time status for a specific delivery.
019d7588get delivery quote
Calculates the price and estimated time of arrival for a potential delivery route.
019d7588get doordash developer metadata
Retrieves metadata about the current developer account connected to the server.
019d7588list doordash deliveries
Lists all deliveries that are currently active or recently completed in your account.
019d7588list in progress deliveries
Identifies all deliveries that are currently moving or out for delivery.
019d7588list latest deliveries
Finds the most recently created or updated delivery records.
019d7588quick delivery volume audit
Gathers a high-level summary of overall delivery activity and success rates.
019d7588search deliveries by external id
Searches for a delivery using a reference ID you provide, rather than the internal DoorDash ID.
Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
You manage your whole last-mile operation with your AI agent. This server lets you request quotes, check all active deliveries, track where the dashers are right now, and even set up new orders, all by just talking to your agent.
get_doordash_developer_metadata lets you grab metadata about the developer account connected to the server.
get_delivery_quote calculates the price and estimated time of arrival for a potential route using start and end coordinates. create_new_delivery submits a request to start a new DoorDash delivery job using provided locations. get_delivery_details pulls detailed info and the current, live status for any single DoorDash delivery ID. list_doordash_deliveries lists every delivery that's currently active or recently finished in your account. list_in_progress_deliveries pinpoints all deliveries that are currently moving or out for pickup. list_latest_deliveries finds the most recently created or updated delivery records. search_deliveries_by_external_id tracks a delivery using an external ID you give it, so you don't need the internal DoorDash ID. cancel_active_delivery cancels a specific delivery job that hasn't been picked up yet. quick_delivery_volume_audit gives a high-level summary of overall delivery activity and success rates.
How DoorDash Drive MCP Works
- 1 Connect the DoorDash integration to your AI client and authorize it using your Developer ID, Key ID, and Signing Secret.
- 2 Prompt your agent with a request (e.g., 'What is the status of Order X?' or 'Quote a delivery from A to B?').
- 3 Your agent calls the appropriate tool, pulls the real-time data, and presents the result to you in plain language.
The bottom line is you manage complex, real-time logistics by talking to your agent, which executes the necessary API calls for you.
Who Is DoorDash Drive MCP For?
Logistics Managers who need to check delivery status instantly. Operations Teams who need to monitor fulfillment volume across multiple shipments. Customer Support agents who need fast, accurate ETAs to close tickets. This is for anyone whose job involves tracking physical goods or coordinating last-mile movement.
Uses list_in_progress_deliveries to see all active shipments and get_delivery_details to report specific status updates to stakeholders.
Runs quick_delivery_volume_audit to get a high-level summary of daily activity and checks list_doordash_deliveries to audit historical performance.
Uses search_deliveries_by_external_id when a customer only knows the tracking number, not the internal DoorDash ID, to provide immediate service.
What Changes When You Connect
- Check delivery status instantly. Use
get_delivery_detailsto pull the real-time status and location of any single order, eliminating manual dashboard checks. - Plan routes before committing. Call
get_delivery_quotewith just two addresses to get an instant price and ETA, letting you decide if a job is viable. - Monitor fulfillment volume. Run
quick_delivery_volume_auditto get a summary of success rates and total activity without needing to filter dozens of records. - Handle customer queries faster. If a customer only has a tracking number, use
search_deliveries_by_external_idto find the order immediately. - Streamline onboarding. Use
list_doordash_deliveriesto get a full list of active and recent jobs, giving you an immediate operational snapshot. - Control the workflow. You can use
cancel_active_deliveryto stop a job if the pickup location changes, preventing unnecessary costs.
Real-World Use Cases
A delivery needs tracking, but the customer only has the tracking number.
The support agent knows the customer only provided the external reference ID. They ask their agent to run search_deliveries_by_external_id. The agent finds the correct order and reports the current status and ETA to the customer, solving the issue instantly.
The operations team needs to see if a new route is profitable.
Before committing to a job, the ops team uses get_delivery_quote with the coordinates. The agent returns the cost and the estimated time. This allows the team to greenlight the job only if the quote meets the margin requirements.
The logistics manager needs a quick operational health check.
Instead of clicking through multiple screens, the manager asks the agent to run quick_delivery_volume_audit. The agent summarizes success rates and total volume, giving a single, actionable KPI.
A critical delivery is stuck and needs manual oversight.
The manager asks the agent to run list_in_progress_deliveries. The agent identifies the stuck job, and the manager then uses get_delivery_details to pinpoint exactly where the dasher is and when they expect to arrive.
The Tradeoffs
Checking status by clicking through dashboards.
A coordinator logs into the web portal, navigates to 'Active Jobs', filters by 'Pending', clicks on the first 5 jobs, and copies 5 different Order IDs to check their status manually.
→
Ask your agent to run list_in_progress_deliveries first. Then, if you need specifics, call get_delivery_details for the ID list provides.
Assuming all deliveries are listed in one spot.
The analyst tries to list all jobs using only list_doordash_deliveries, but forgets to include the jobs that are currently moving or out for delivery.
→
Run both list_doordash_deliveries and list_in_progress_deliveries to ensure you capture both historical records and live activity.
Creating a job without knowing the cost.
The user blindly calls create_new_delivery because they know the addresses, but forgets to check the pricing first, risking a job that is unprofitable.
→
Always call get_delivery_quote first, using the addresses to validate the price and ETA. Then, if approved, call create_new_delivery.
When It Fits, When It Doesn't
Use this server if your job requires real-time visibility into physical logistics. You need to know where a package is, how much it costs to move, or if an existing job is running smoothly. You're coordinating movement, not just data.
Don't use this if you only need to manage internal records, like updating a client's contact info or logging a general complaint. Those tasks require CRM or database tools. If you only need to know general industry statistics, use a dedicated data warehouse connection. If you are just listing records without checking status, list_doordash_deliveries is fine, but for live operations, you need the specific tools like get_delivery_details and list_in_progress_deliveries.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DoorDash Drive. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking a shipment shouldn't require jumping between five different tabs.
Today, tracking a shipment means logging into the portal, navigating to the order ID, finding the status on one tab, the dasher's location on a second tab, and the ETA on a third. You're copying IDs, clicking refresh, and cross-referencing data across three separate screens just to answer, 'Where is it?'
With DoorDash Drive, you ask your agent, 'What's the status of Order XYZ?' The agent runs `get_delivery_details` and gives you the full picture—the status, the location, and the ETA—in a single conversational reply. That's it.
DoorDash Drive MCP Server: Use `get_delivery_quote` to plan routes in seconds.
Before you commit to a delivery, you usually have to manually input both the start and end coordinates into a separate quote calculator. Then you wait for the page to load, copy the resulting price, and paste it into your spreadsheet for approval.
Now, you tell your agent, 'What's the cost to move items from A to B?' The agent runs `get_delivery_quote` and gives you the price and ETA immediately. You get the data you need, right where you're working.
Common Questions About DoorDash Drive MCP
How do I check the status of a delivery using `get_delivery_details`? +
You must provide the specific delivery ID. The agent returns the live status, including if the dasher has picked up the order and the estimated time of arrival (ETA).
Which tool should I use if I only have the customer's external tracking number? +
Use search_deliveries_by_external_id. This tool lets you find a delivery using a reference ID you own, even if the internal DoorDash ID is unknown.
Can I see all deliveries that are currently out for delivery? +
Run list_in_progress_deliveries. This function specifically identifies jobs that are actively moving or out for pickup right now.
How do I find out the cost for a potential delivery? +
Use get_delivery_quote. You just need to provide the starting geographic coordinates and the ending geographic coordinates.
How do I use `list_doordash_deliveries` to see my recent delivery activity? +
The list_doordash_deliveries tool shows all active and recent deliveries in your account. This lets you quickly audit your fulfillment history or check the status of multiple orders at once.
What should I use if I need to cancel a delivery using `cancel_active_delivery`? +
Use the cancel_active_delivery tool. You must specify the delivery ID, and the delivery cannot have been picked up yet for the cancellation to succeed.
How do I get a summary of my delivery performance using `quick_delivery_volume_audit`? +
The quick_delivery_volume_audit tool provides a high-level summary of your delivery activity and success rates. This is useful for operational teams tracking overall fulfillment volume.
Which tool handles finding a delivery by my own external reference ID, like `search_deliveries_by_external_id`? +
The search_deliveries_by_external_id tool finds a delivery using an external reference ID you provide. This is helpful when the customer only has an ID you assigned, not the internal DoorDash ID.
How do I get DoorDash Developer credentials? +
Sign up for a developer account at the DoorDash Developer Portal. Once registered, you can create an Access Key to generate your Developer ID, Key ID, and Signing Secret.
Can the agent track dashers on a map? +
The agent can retrieve real-time latitude and longitude coordinates for dashers via the get_delivery_details tool, which can be used to identify their current location.
Does the integration support delivery quotes? +
Yes, you can use the get_delivery_quote tool to retrieve estimated pricing and delivery times before actually requesting a fulfillment.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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