DoorDash Drive MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DoorDash Drive as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DoorDash Drive. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DoorDash Drive?"
)
print(response)
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.
LlamaIndex agents combine DoorDash Drive tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the DoorDash Drive MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from DoorDash Drive
Why Use LlamaIndex with the DoorDash Drive MCP Server
LlamaIndex provides unique advantages when paired with DoorDash Drive through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DoorDash Drive tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DoorDash Drive tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DoorDash Drive, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DoorDash Drive tools were called, what data was returned, and how it influenced the final answer
DoorDash Drive + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DoorDash Drive MCP Server delivers measurable value.
Hybrid search: combine DoorDash Drive real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DoorDash Drive to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DoorDash Drive for fresh data
Analytical workflows: chain DoorDash Drive queries with LlamaIndex's data connectors to build multi-source analytical reports
DoorDash Drive MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DoorDash Drive to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting DoorDash Drive to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDoorDash Drive + LlamaIndex FAQ
Common questions about integrating DoorDash Drive MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.