DoorDash Drive MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DoorDash Drive through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="DoorDash Drive Assistant",
instructions=(
"You help users interact with DoorDash Drive. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from DoorDash Drive"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from DoorDash Drive through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DoorDash Drive, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the DoorDash Drive MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from DoorDash Drive
Why Use OpenAI Agents SDK with the DoorDash Drive MCP Server
OpenAI Agents SDK provides unique advantages when paired with DoorDash Drive through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
DoorDash Drive + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the DoorDash Drive MCP Server delivers measurable value.
Automated workflows: build agents that query DoorDash Drive, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries DoorDash Drive, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through DoorDash Drive tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query DoorDash Drive to resolve tickets, look up records, and update statuses without human intervention
DoorDash Drive MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect DoorDash Drive to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting DoorDash Drive to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
DoorDash Drive + OpenAI Agents SDK FAQ
Common questions about integrating DoorDash Drive MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect DoorDash Drive with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.