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Stadia Maps

Stadia Maps MCP Server

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Equip your AI with advanced geospatial routing and mapping logic. Calculate distances, geocode coordinates, and plot optimized trips securely.

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Stadia Maps
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What is the Stadia Maps MCP Server?

The Stadia Maps MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Stadia Maps via 10 tools. Equip your AI with advanced geospatial routing and mapping logic. Calculate distances, geocode coordinates, and plot optimized trips securely. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

autocomplete_locationcalculate_distance_matrixcalculate_isochronecalculate_routeexecute_map_matchingforward_geocodeget_path_elevationget_timezoneoptimized_trip_routereverse_geocode

Tools for your AI Agents to operate Stadia Maps

Ask your AI agent "Locate and securely return the comprehensive latitude and longitude values associated with this address: '1600 Amphitheatre Parkway, Mountain View, CA'." and get the answer without opening a single dashboard. With 10 tools connected to real Stadia Maps data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Stadia Maps MCP Server capabilities

10 tools
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

What the Stadia Maps MCP Server unlocks

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.

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.

How it works

1. Connect the Stadia Maps MCP module natively to your active AI environment.
2. Securely provide your Developer API Key within the MCP configuration.
3. Engage your coding assistant: "Plot the most efficient vehicle route intersecting these specific delivery coordinates."

Who is this for?

  • Logistics Engineers — Construct and test delivery scheduling models natively, instructing the AI to solve complex routing problems.
  • GIS Data Analysts — Accurately refine and correct noisy fleet GPS tracker data points entirely through the integration.
  • Fleet Dispatchers — Audit and establish local timezone contexts for globally distributed assets effectively.

Frequently asked questions about the Stadia Maps MCP Server

01

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.

02

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.

03

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.

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Give your AI agents the power of Stadia Maps MCP Server

Production-grade Stadia Maps MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.