# Stadia Maps MCP for AI Agents AI Agent Connect > Stadia Maps MCP gives your AI agent the ability to handle complex mapping and logistics tasks. It handles geocoding, distance matrices, and optimized routing. Stop manually copying addresses into maps; let your agent calculate routes and travel times directly. ## Overview - **Category:** data-analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_Zn6PbeWR61HQoD9gqBLh41CPmCvOZ3Y1lZXRiODb/ai-agent-connect - **Tags:** geospatial-routing, mapping, route-optimization, distance-matrix, logistics, coordinates ## Description You can give your agent the ability to understand physical geography without it having to guess. Instead of describing a route or asking for a distance and getting a rough estimate, your agent can now pull real-world data to figure out exactly how long a delivery will take or which path a truck should take to hit five different stops. It handles the heavy lifting of turning an address into a coordinate and then figuring out the best way to get there. You can use it to map out entire delivery zones or find out if a specific location is reachable within a certain timeframe. It's a core part of the Vinkius catalog, making it easy to plug into your existing workflow so your agent can act like a logistics pro. You get precise travel times, elevation data for mountain routes, and the ability to snap messy GPS pings onto actual roads. ## Tools ### autocomplete_location Get address suggestions from partial text input. This helps your agent handle user typos or incomplete addresses. ### calculate_isochrone See how far a vehicle can travel in a set amount of time. It's perfect for defining delivery zones. ### calculate_distance_matrix Get travel times and distances for a list of many locations. Use this to compare different routes quickly. ### calculate_route Find a specific path between points for cars, bikes, or pedestrians. It provides the exact vector for travel. ### forward_geocode Turn a written street address into latitude and longitude. This is the first step for any mapping task. ### get_path_elevation See how much the ground rises or falls along a specific path. This is useful for heavy vehicle planning. ### get_timezone Check which timezone a specific set of coordinates falls into. Use it to coordinate global fleets. ### execute_map_matching Fix messy GPS pings by snapping them to the nearest road. It cleans up data from mobile trackers. ### optimized_trip_route Find the best order for visiting multiple delivery stops. It saves time by solving the routing sequence. ### reverse_geocode Turn coordinates back into a readable street address. This helps identify locations from raw data. ## Prompt Examples **Prompt:** ``` I have 5 delivery addresses in Chicago. What's the fastest way to hit all of them? ``` **Response:** ``` I've analyzed the locations and calculated the most efficient sequence for your deliveries. Here is the optimized path: 1. **Warehouse Hub** (Start) 2. **Stop A**: 123 Main St (8 min away) 3. **Stop B**: 456 Oak Ave (12 min away) 4. **Stop C**: 789 Pine Ln (15 min away) 5. **Stop D**: 101 Maple Dr (10 min away) **Total estimated travel time**: 45 minutes. ``` **Prompt:** ``` Is this warehouse location reachable within 20 minutes from the city center? ``` **Response:** ``` Based on current road data, the warehouse at **42 Industrial Way** is reachable within a **18-minute drive** from the city center. Here is the breakdown: - **Route**: Via Highway 10 - **Estimated Time**: 18 minutes - **Distance**: 9.4 miles You are well within your 20-minute window. ``` **Prompt:** ``` What's the local time in the coordinates for my new distribution center in Tokyo? ``` **Response:** ``` The distribution center located at those coordinates is in the **Japan Standard Time (JST)** zone. - **Current Local Time**: 10:45 AM - **Timezone Offset**: UTC+9 This is helpful for scheduling your morning shift arrivals. ``` ## Capabilities ### Convert addresses to coordinates Turn physical street addresses into precise latitude and longitude points. ### Calculate travel times between multiple points Get accurate travel durations and distances for a list of many locations. ### Find the fastest multi-stop route Determine the most efficient order for visiting several different delivery stops. ### Map out reachable areas within a time limit Visualize the perimeter of where a vehicle can travel in a specific amount of time. ### Snap raw GPS data to actual roads Fix jittery GPS pings by aligning them with the official street network. ### Get local timezones for any coordinate Retrieve the correct local time for any specific geographic point. ## Use Cases ### Delivery Route Optimization A delivery manager asks their agent to find the fastest way to hit 10 different stops in a city. The agent uses optimized_trip_route to sequence them. ### Fleet Data Cleanup A GIS analyst takes raw GPS pings from a fleet of trucks and uses execute_map_matching to snap them to the road for a clean report. ### Global Asset Coordination A dispatcher needs to know the local time for 50 different distribution centers. The agent uses get_timezone to pull all times at once. ### Service Area Mapping A warehouse manager wants to know how far a driver can go in 30 minutes. The agent uses calculate_isochrone to map the reachable area. ## Benefits - Stop guessing travel times by using calculate_distance_matrix to get real-world data for your fleet. - Fix jittery GPS data from trucks using execute_map_matching to snap points to the road network. - Automate delivery planning with optimized_trip_route to find the best order for every stop. - Identify reachable delivery zones quickly with calculate_isochrone for better service area planning. - Handle global logistics across timezones using get_timezone for accurate scheduling of assets. - Get exact height data for mountain routes using get_path_elevation to avoid steep terrain. ## How It Works The bottom line is your agent gets real-world mapping data to solve logistics problems instantly. 1. Connect the Stadia Maps MCP to your client and add your Developer API Key. 2. Tell your agent to perform a specific task, like finding a route between three cities. 3. Receive the precise travel times, distances, and optimized paths in your chat. ## Frequently Asked Questions **Can the Stadia Maps MCP help with delivery routes?** Yes, it finds the best order for multiple stops to save time and fuel. It calculates the most efficient sequence based on real road data. **Does it handle different vehicle types?** Yes, it can calculate routes specifically for cars, bicycles, and pedestrians, ensuring the directions are appropriate for the vehicle. **Can I use it to clean up GPS data?** Yes, it snaps raw GPS pings to the official road network. This removes the 'jitter' from tracker data and makes it usable for maps. **How does it handle addresses?** It turns physical street addresses into latitude and longitude coordinates. This allows your agent to perform mapping tasks using plain text. **Can it tell me the time of day in another country?** Yes, it retrieves the correct local timezone for any specific set of coordinates, which is great for managing global fleets. **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.