How do I get DoorDash Developer credentials?

Sign up for a developer account at the [**DoorDash Developer Portal**](https://developer.doordash.com). 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.

DoorDash Drive MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: DoorDash Drive
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DoorDash Drive as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="doordash_drive_agent",
    instruction=(
        "You help users interact with DoorDash Drive "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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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 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.

Google ADK natively supports DoorDash Drive as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the DoorDash Drive MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from DoorDash Drive via MCP

Why Use Google ADK with the DoorDash Drive MCP Server

Google ADK provides unique advantages when paired with DoorDash Drive through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with DoorDash Drive

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine DoorDash Drive tools with BigQuery, Vertex AI, and Cloud Functions

DoorDash Drive + Google ADK Use Cases

Practical scenarios where Google ADK combined with the DoorDash Drive MCP Server delivers measurable value.

Enterprise data agents: ADK agents query DoorDash Drive and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine DoorDash Drive tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query DoorDash Drive regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DoorDash Drive

DoorDash Drive MCP Tools for Google ADK (10)

These 10 tools become available when you connect DoorDash Drive to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting DoorDash Drive to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

DoorDash Drive + Google ADK FAQ

Common questions about integrating DoorDash Drive MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.