Overpass (OpenStreetMap) MCP Server for LangChain 16 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Overpass (OpenStreetMap) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"overpass-openstreetmap": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Overpass (OpenStreetMap), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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.
LangChain's ecosystem of 500+ components combines seamlessly with Overpass (OpenStreetMap) through native MCP adapters. Connect 16 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Overpass (OpenStreetMap) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 16 tools from Overpass (OpenStreetMap) via MCP
Why Use LangChain with the Overpass (OpenStreetMap) MCP Server
LangChain provides unique advantages when paired with Overpass (OpenStreetMap) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Overpass (OpenStreetMap) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Overpass (OpenStreetMap) queries for multi-turn workflows
Overpass (OpenStreetMap) + LangChain Use Cases
Practical scenarios where LangChain combined with the Overpass (OpenStreetMap) MCP Server delivers measurable value.
RAG with live data: combine Overpass (OpenStreetMap) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Overpass (OpenStreetMap), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Overpass (OpenStreetMap) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Overpass (OpenStreetMap) tool call, measure latency, and optimize your agent's performance
Overpass (OpenStreetMap) MCP Tools for LangChain (16)
These 16 tools become available when you connect Overpass (OpenStreetMap) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Overpass (OpenStreetMap) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOverpass (OpenStreetMap) + LangChain FAQ
Common questions about integrating Overpass (OpenStreetMap) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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Connect Overpass (OpenStreetMap) to LangChain
Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.