Does it return visual maps or raw data?

Raw structured JSON only — coordinates, distances, durations, and elevation values. No interactive map tiles are rendered. You can use the data to plot maps in your own application.

Does `optimized_trip_route` solve the Traveling Salesman Problem?

Yes. Pass an unordered set of coordinates and it returns the optimal visit sequence minimizing total travel time or distance.

Is there a free tier?

Yes. Stadia Maps offers a free tier with generous limits for geocoding, routing, and elevation queries. Sign up at stadiamaps.com and generate an API key from the dashboard.

Stadia Maps MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Stadia Maps through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Stadia Maps Assistant",
            instructions=(
                "You help users interact with Stadia Maps. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Stadia Maps"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Stadia Maps MCP Server

Imbue your artificial intelligence environment with the geospatial and routing capabilities of Stadia Maps. Seamlessly audit logistical questions and compute optimal transit routes across numerous delivery points without leaving your conversational interface. Empower your assistant to translate standard addresses into precise geographic coordinates, calculate time-and-distance matrices objectively, or parse topographical elevation data efficiently, connecting global mapping infrastructure directly to your local workflows.

The OpenAI Agents SDK auto-discovers all 10 tools from Stadia Maps through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Stadia Maps, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Geospatial Coordination — Convert physical addresses into exact coordinates using forward_geocode, or deduce properties from latitude and longitude via reverse_geocode.
Route Computation — Instruct your AI to generate accurate driving vectors between locations via calculate_route, and establish extensive routing cost-matrices utilizing calculate_distance_matrix.
Logistical Optimization — Resolve complex routing problems automatically with optimized_trip_route, and map exact reachable perimeters utilizing calculate_isochrone.
Topography & Precision — Align raw GPS tracks to official street networks accurately with execute_map_matching, and retrieve detailed elevation metrics applying get_path_elevation.

The Stadia Maps 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 Stadia Maps to OpenAI Agents SDK via MCP

Follow these steps to integrate the Stadia Maps 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 Stadia Maps

Why Use OpenAI Agents SDK with the Stadia Maps MCP Server

OpenAI Agents SDK provides unique advantages when paired with Stadia Maps 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

Stadia Maps + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Stadia Maps MCP Server delivers measurable value.

Automated workflows: build agents that query Stadia Maps, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Stadia Maps, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Stadia Maps tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Stadia Maps to resolve tickets, look up records, and update statuses without human intervention

Stadia Maps MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Stadia Maps to OpenAI Agents SDK via MCP:

autocomplete_location

Provides predictive address suggestions based on partial input

calculate_distance_matrix

Calculates distances and travel times between multiple points

calculate_isochrone

Calculates an area reachable within a specific time or distance

calculate_route

Locations should be a JSON array of {lat, lon}. Costing can be "auto", "bicycle", or "pedestrian". Calculates a route between multiple geographic points

execute_map_matching

Snaps raw GPS points to the road network

forward_geocode

Converts a physical address string into geographic coordinates

get_path_elevation

Retrieves elevation/height data for a specific geographic path

get_timezone

Retrieves the local timezone for specific geographic coordinates

optimized_trip_route

Returns the optimized path. Calculates the most efficient route between multiple stops

reverse_geocode

Converts geographic coordinates into a physical address

Example Prompts for Stadia Maps in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Stadia Maps immediately.

"Locate and securely return the comprehensive latitude and longitude values associated with this address: '1600 Amphitheatre Parkway, Mountain View, CA'."

"Analyze these targeted locations formatting parameters into a complete trip route simulation enforcing an algorithmic analysis assuming optimal routing for automobiles."

Troubleshooting Stadia Maps MCP Server with OpenAI Agents SDK

Common issues when connecting Stadia Maps to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Stadia Maps + OpenAI Agents SDK FAQ

Common questions about integrating Stadia Maps MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.