MapQuest MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MapQuest 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="MapQuest Assistant",
instructions=(
"You help users interact with MapQuest. "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MapQuest"
)
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 MapQuest MCP Server
Connect your AI agent to MapQuest, one of the pioneers in online mapping. This integration provides essential geographic tools, from converting addresses to coordinates to calculating detailed travel routes.
The OpenAI Agents SDK auto-discovers all 5 tools from MapQuest through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MapQuest, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Geocoding — Convert street addresses into precise latitude and longitude coordinates
- Reverse Geocoding — Identify the human-readable address for any GPS coordinate
- Detailed Directions — Get turn-by-turn routing for driving, walking, or cycling, including distance and time estimates
- POI Search — Find nearby businesses and points of interest like restaurants, gas stations, or parks
- Static Maps — Generate URLs for visual map images centered on any location
The MapQuest MCP Server exposes 5 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 MapQuest to OpenAI Agents SDK via MCP
Follow these steps to integrate the MapQuest 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 5 tools from MapQuest
Why Use OpenAI Agents SDK with the MapQuest MCP Server
OpenAI Agents SDK provides unique advantages when paired with MapQuest 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
MapQuest + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MapQuest MCP Server delivers measurable value.
Automated workflows: build agents that query MapQuest, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MapQuest, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MapQuest tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MapQuest to resolve tickets, look up records, and update statuses without human intervention
MapQuest MCP Tools for OpenAI Agents SDK (5)
These 5 tools become available when you connect MapQuest to OpenAI Agents SDK via MCP:
geocode_address
Convert an address into geographic coordinates (latitude and longitude)
get_directions
Get driving, walking, or cycling directions between two locations
get_static_map_url
Generate a static map image URL for a specific location
reverse_geocode
Convert geographic coordinates (latitude and longitude) into a human-readable address
search_points_of_interest
Search for specific places (restaurants, gas stations, etc.) around a location
Example Prompts for MapQuest in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MapQuest immediately.
"What are the coordinates for the White House?"
"Get driving directions from New York to Philadelphia."
Troubleshooting MapQuest MCP Server with OpenAI Agents SDK
Common issues when connecting MapQuest to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MapQuest + OpenAI Agents SDK FAQ
Common questions about integrating MapQuest 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 MapQuest 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 MapQuest to OpenAI Agents SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.