Overpass (OpenStreetMap) MCP Server for Mastra AI 16 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Overpass (OpenStreetMap) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"overpass-openstreetmap": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Overpass (OpenStreetMap) Agent",
instructions:
"You help users interact with Overpass (OpenStreetMap) " +
"using 16 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Overpass (OpenStreetMap)?"
);
console.log(result.text);
}
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 Overpass (OpenStreetMap) MCP Server
Connect to Overpass API (OpenStreetMap) and query the world's largest free geographic database through natural conversation — no API key needed.
Mastra's agent abstraction provides a clean separation between LLM logic and Overpass (OpenStreetMap) tool infrastructure. Connect 16 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Amenity Search — Find restaurants, cafes, hospitals, schools, pharmacies, ATMs, fuel stations and more
- Shop Search — Discover shops, supermarkets, bakeries, clothing stores and retail outlets
- Nearby Search — Find any amenity within a radius of any GPS coordinate
- Hotel Search — Locate hotels, hostels and tourist accommodation
- Park Search — Find parks, gardens and green spaces
- EV Charging — Locate electric vehicle charging stations
- Custom Queries — Execute custom Overpass QL queries for any OSM data
The Overpass (OpenStreetMap) MCP Server exposes 16 tools through the Vinkius. Connect it to Mastra AI 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 Overpass (OpenStreetMap) to Mastra AI via MCP
Follow these steps to integrate the Overpass (OpenStreetMap) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 16 tools from Overpass (OpenStreetMap) via MCP
Why Use Mastra AI with the Overpass (OpenStreetMap) MCP Server
Mastra AI provides unique advantages when paired with Overpass (OpenStreetMap) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Overpass (OpenStreetMap) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Overpass (OpenStreetMap) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Overpass (OpenStreetMap) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Overpass (OpenStreetMap) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Overpass (OpenStreetMap), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Overpass (OpenStreetMap) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Overpass (OpenStreetMap) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Overpass (OpenStreetMap) tools alongside other MCP servers
Overpass (OpenStreetMap) MCP Tools for Mastra AI (16)
These 16 tools become available when you connect Overpass (OpenStreetMap) to Mastra AI via MCP:
custom_query
The query should be valid Overpass QL syntax. The output format is automatically set to JSON. If no out statement is included, "out geom;" is appended automatically. Example: `node["amenity"="cafe"](51.5,-0.15,51.51,-0.14); out geom;` Execute a custom Overpass QL query
search_amenities
Common amenities: "restaurant", "cafe", "school", "hospital", "pharmacy", "bank", "atm", "fuel", "parking", "toilets", "library", "police", "fire_station", "post_office", "cinema", "theatre", "nightclub", "bar", "pub", "fast_food", "ice_cream". Bbox format: lat_min,lon_min,lat_max,lon_max. Search for amenities (restaurants, schools, hospitals, etc.) in a bounding box
search_atms
Returns ATM locations, operator/bank names, addresses, 24/7 availability and network info. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for ATMs in a bounding box
search_by_name
Optional amenity filter to narrow results. Returns matching elements with full details including addresses, phone numbers and websites. Search for OSM elements by name
search_by_tag
Bbox format: lat_min,lon_min,lat_max,lon_max (e.g. "51.249,-0.15,51.251,-0.10" for central London). Useful for finding specific OSM-tagged features. Search OpenStreetMap elements by tag key/value in a bounding box
search_charging_stations
Returns station names, addresses, connector types, charging speeds, operator info and access details. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for EV charging stations in a bounding box
search_fuel_stations
Returns station names, brands, addresses, fuel types offered, opening hours and operator info. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for fuel/gas stations in a bounding box
search_hospitals
Returns facility names, addresses, phone numbers, emergency services info, specialties and operator info. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for hospitals and clinics in a bounding box
search_hotels
Returns hotel names, addresses, star ratings, phone numbers, websites and room info. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for hotels in a bounding box
search_nearby
Useful for finding nearby amenities without defining a full bounding box. Returns names, addresses, distances and details. Search for OSM elements near a specific location
search_nearby_amenities
Common amenities: "restaurant", "cafe", "pharmacy", "atm", "bank", "hospital", "school", "supermarket", "fuel", "charging_station", "parking", "toilets", "police", "fire_station", "post_office". Search for specific amenities near a location
search_parks
Returns park names, addresses, area sizes, features (playgrounds, sports facilities) and operator info. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for parks and green spaces in a bounding box
search_pharmacies
Returns pharmacy names, addresses, phone numbers, opening hours, dispensing info and operator info. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for pharmacies in a bounding box
search_restaurants
Optional cuisine filter: "italian", "chinese", "japanese", "indian", "mexican", "thai", "french", "american", "pizza", "burger", "sushi", "vegan", "vegetarian". Bbox format: lat_min,lon_min,lat_max,lon_max. Search for restaurants in a bounding box
search_schools
Returns school names, addresses, phone numbers, websites, student capacity and operator info. Bbox format: lat_min,lon_min,lat_max,lon_max. Search for schools in a bounding box
search_shops
Optional shop type filter: "supermarket", "convenience", "clothes", "bakery", "butcher", "electronics", "furniture", "hardware", "jewelry", "mall", "bookmaker", "car", "car_repair", "chemist", "florist", "gift", "hairdresser", "mobile_phone", "shoes", "sports", "toys". Bbox format: lat_min,lon_min,lat_max,lon_max. Search for shops in a bounding box
Example Prompts for Overpass (OpenStreetMap) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Overpass (OpenStreetMap) immediately.
"Find all restaurants in Lower Manhattan."
"Find ATMs within 500m of Times Square (40.7580, -73.9855)."
"Find EV charging stations in downtown San Francisco."
Troubleshooting Overpass (OpenStreetMap) MCP Server with Mastra AI
Common issues when connecting Overpass (OpenStreetMap) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOverpass (OpenStreetMap) + Mastra AI FAQ
Common questions about integrating Overpass (OpenStreetMap) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect Overpass (OpenStreetMap) to Mastra AI
Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.