# Overpass MCP for AI Agents AI Agent Connect > Overpass (OpenStreetMap) MCP lets you search for real-world locations like restaurants, hospitals, and EV stations using plain English. It pulls data from the world's largest free geographic database, giving your AI agent the ability to find nearby amenities, analyze urban infrastructure, or locate specific shops and parks across the globe. ## Overview - **Category:** data-analytics - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_DGkmVxEbxmLxMu1OyGbUJIrzjQi3rn2xOK8B2fYg/ai-agent-connect - **Tags:** openstreetmap, geographic-data, spatial-query, location-intelligence, mapping ## Description This Connector connects your AI client to a massive geographic database that lets you query the world's largest free map data using natural language. Instead of wrestling with complex query syntax or manually scraping websites, you can just tell your agent what you need. It handles the heavy lifting of finding specific locations like coffee shops, hospitals, or even EV charging stations. You can use it to scout for retail outlets, map out public parks, or analyze urban infrastructure in any city on the planet. It's a massive step forward for anyone who needs spatial awareness without the technical headache of manual data fetching. Because Vinkius hosts this, you get a ready-to-use connection that works with your existing AI tools. It turns geographic research into a simple conversation, letting you gather data on schools, pharmacies, and more without ever needing to manage an API key or write a line of code. You get the raw power of a global mapping dataset without having to become a GIS expert to access it. Whether you are looking for specific amenities like a 24/7 pharmacy or trying to understand the density of schools in a specific zip code, this tool provides the answers instantly. It bridges the gap between a simple text prompt and a complex geographic database. ## Tools ### search_schools Get school names, capacities, and contact details. This is useful for analyzing educational infrastructure. ### custom_query Run specific Overpass QL queries for precise data extraction. This is useful for getting exact data sets that standard filters might miss. ### search_amenities Find common spots like schools or banks within a specific area. It helps you quickly see what services are available in a neighborhood. ### search_atms Locate ATMs with details on bank names and 24/7 availability. Use this to find accessible cash points in any region. ### search_by_name Find specific places by name to get phone numbers and websites. It's great for gathering contact info for local businesses. ### search_by_tag Query specific OSM tags to find niche geographic features. This lets you find very specific landmarks or infrastructure. ### search_charging_stations Find EV chargers with info on connector types and speeds. It helps travelers plan routes based on their vehicle's needs. ### search_fuel_stations Locate gas stations with brand and fuel type details. Use this to map out refueling points for long-distance trips. ### search_hospitals Find clinics and hospitals with emergency service info. This is helpful for identifying nearby medical facilities. ### search_hotels Get hotel names, star ratings, and room information. Use this to quickly scout for accommodation in a new city. ### search_nearby Find nearby points of interest without needing to know the coordinates. It simplifies finding what's around you right now. ### search_nearby_amenities Quickly find essential services like pharmacies or toilets nearby. This is perfect for finding immediate necessities. ### search_parks Locate parks and green spaces with details on playgrounds or sports facilities. Use this to find outdoor recreation areas. ### search_pharmacies Find pharmacies with opening hours and dispensing info. This helps you locate medicine providers quickly. ### search_restaurants Search for dining options with optional cuisine filters. Use this to find specific types of food in any area. ### search_shops Find retail locations like bakeries or electronics stores. Use this to map out commercial districts. ## Prompt Examples **Prompt:** ``` Find all the coffee shops in downtown Seattle. ``` **Response:** ``` ### Coffee Shops in Downtown Seattle I found several coffee shops in the downtown area. Here are the top results: | Name | Address | Cuisine/Type | | :--- | :--- | :--- | | **Starbucks** | 123 Pine St | Coffee House | | **Blue Bottle** | 456 Pike Pl | Specialty Coffee | | **Cafe Latte** | 789 Market St | Local Cafe | *Most locations are within walking distance of the Pike Place Market.* ``` **Prompt:** ``` Are there any EV charging stations near the Space Needle? ``` **Response:** ``` ### EV Charging Stations Near the Space Needle I located several charging stations nearby: * **ChargePoint Station** (0.4 miles away) * *Connectors:* CCS, CHAdeMO * *Speed:* Up to 150kW * **Tesla Supercharger** (1.2 miles away) * *Connectors:* Tesla * *Speed:* Supercharging *Note: Connector types vary, so check your vehicle's requirements before heading out.* ``` **Prompt:** ``` List all the parks in Austin, Texas that have playgrounds. ``` **Response:** ``` ### Parks with Playgrounds in Austin, TX I found several parks in Austin that feature playgrounds: * **Zilker Park** - Features a large multi-use playground and open green space. * **Pease Park** - Includes a dedicated children's play area in the downtown area. * **Mueller Lake Park** - Features a modern playground and walking trails. *Would you like me to find the specific addresses or phone numbers for any of these?* ``` ## Capabilities ### Find nearby restaurants and cafes Ask your agent to locate dining options in a specific area to see what's available. ### Locate EV charging stations Get details on charging speeds, connector types, and station locations for travel planning. ### Search for pharmacies and hospitals Identify nearby medical facilities and clinics with emergency service information. ### Identify shops and retail outlets Find everything from bakeries and clothing stores to electronics and hardware shops. ### Execute custom geographic queries Run specific queries to extract precise data sets that standard filters might miss. ### Find parks and green spaces Locate public parks and gardens with details on playgrounds and sports facilities. ## Use Cases ### Finding local services for travelers A traveler asks the agent to find all cafes and pharmacies within a 1km radius of a specific street address to plan their afternoon. ### Urban planning and infrastructure analysis A researcher asks the agent to find every park and school in a specific city to analyze the availability of public services. ### Logistics and fleet planning A fleet manager asks for all fuel stations and EV chargers along a specific highway route to optimize truck routes. ### Retail and commercial scouting A business owner asks for all clothing stores and bakeries in a downtown area to scout for competitors and market gaps. ## Benefits - No API keys required means you can start querying OpenStreetMap data immediately without any signups. - Use search_nearby_amenities to find essential services like pharmacies or ATMs without needing to know coordinates. - Get specific details like phone numbers and websites from search_by_name to help with lead generation or research. - Analyze urban layouts with custom_query to run complex Overpass QL logic for precise data sets. - Locate EV charging stations using search_charging_stations to plan efficient travel routes with connector info. - Find diverse retail options with search_shops to quickly map out commercial zones in any city. ## How It Works The bottom line is you get instant access to global geographic data through a simple conversation. 1. Subscribe to the Overpass MCP on the Vinkius Marketplace. 2. Connect the Connector to your preferred AI client like Claude, Cursor, or Windsurf. 3. Ask your agent to find specific locations, amenities, or geographic data points in plain English. ## Frequently Asked Questions **What kind of data can the Overpass MCP find?** This Connector can find a wide variety of real-world locations including restaurants, shops, hospitals, schools, parks, fuel stations, and EV charging points across the globe. **Do I need to pay for an API key to use this?** No, you do not need an API key. This Connector connects to a public service, so you can start querying geographic data immediately after connecting it to your AI client. **Can it find specific types of shops like bakeries?** Yes, it can find specific retail categories. You can ask your agent to search for bakeries, electronics stores, clothing shops, and more in any specific city or area. **How does it handle finding things near my current location?** The Connector can search for amenities near a specific set of coordinates or a landmark. You can provide a nearby address or a specific point of interest to find what's in the vicinity. **Is this good for finding public services like schools or hospitals?** Yes, it is excellent for identifying public infrastructure. It can pull names, addresses, and even specific details like school capacity or emergency service info for hospitals. **Can it help me plan a road trip with fuel stops?** Absolutely. You can ask the agent to find fuel stations or EV charging points along a specific route to help you plan your stops and ensure your vehicle stays charged or fueled. **Do I need an API key?** No! Overpass API is completely free and open. No authentication required. Please be respectful with query sizes — avoid queries returning more than 10,000 elements. **What is a bounding box?** A bounding box defines a geographic area using min_latitude, min_longitude, max_latitude, max_longitude. Example: "40.70,-74.01,40.72,-73.98" covers Lower Manhattan, NYC. **Can I search near my current location?** Yes! Use search_nearby or search_nearby_amenities with your GPS coordinates and a radius in meters (e.g. lat=40.7128, lon=-74.0060, radius=1000 for 1km around NYC). **What amenities can I search for?** Common amenities: restaurant, cafe, fast_food, bar, pub, hospital, clinic, pharmacy, school, university, library, atm, bank, fuel, parking, police, fire_station, post_office, toilets, cinema, theatre, nightclub, museum.