Open-Meteo Geocoding & Elevation MCP. Get precise coordinates and terrain elevation data.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Open-Meteo Geocoding & Elevation is a utility server for converting place names into actionable geospatial data. Use it to resolve any city, village, or address name anywhere in the world.
It returns precise GPS coordinates (lat/lon), population estimates, timezones, and elevation metrics derived from 90m digital elevation models. This tool is essential for any AI agent that needs to ground location-specific intelligence.
What your AI agents can do
Get elevation
Calculates the terrain elevation in meters for any provided latitude and longitude pair.
Search location
Performs a global search, resolving city or village names across all languages into coordinates, population data, and timezones.
Search location by country
Narrows the location search results by requiring an ISO country code (e.g., 'US' or 'BR').
You input a place name (like 'Tokyo' or 'Paris'), and the server returns its exact latitude, longitude, timezone, and population data.
The agent sends a coordinate pair (lat/lon), and the tool calculates the terrain elevation in meters using high-resolution models.
Instead of searching globally, you specify an ISO country code (like 'US' or 'DE'), restricting results to only that nation’s locations.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
Open-Meteo Geocoding & Elevation MCP Server: 3 Tools for Geospatial Data
Use these three tools to resolve locations globally, search by country code, and calculate precise terrain elevation data points.
019d75e8get elevation
Calculates the terrain elevation in meters for any provided latitude and longitude pair.
019d75e8search location
Performs a global search, resolving city or village names across all languages into coordinates, population data, and timezones.
019d75e8search location by country
Narrows the location search results by requiring an ISO country code (e.g., 'US' or 'BR').
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Open-Meteo Geocoding & Elevation, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
When you need your AI client to know where something is, you use the search_location tool. This utility performs a global search, resolving any city or village name across all languages into precise geospatial data. You feed it a place name—say, 'Sydney' or 'Kyiv'—and it spits out the exact latitude, longitude, population estimate, and timezone for that spot.
It’s built to ground location-specific intelligence fast.
You don't always want to search the whole damn planet. If you know what country you're dealing with, you should use the search_location_by_country tool. This narrows the scope right down; you just pass it an ISO country code—like 'US' or 'JP'—and the server only searches locations within that specific nation.
This keeps your results clean and stops ambiguity when searching for common names.
If you need to know how high up a location is, you use the get_elevation tool. You send it a coordinate pair (lat/lon), and it calculates the terrain elevation in meters using a high-resolution digital elevation model. It gives you that specific height reading right away.
Your agent calls these tools when it needs to move beyond simple text conversation. Instead of just chatting about 'Paris,' your client uses search_location to get Paris's exact coordinates, population count, and timezone details. If the job requires altitude data, it then takes those resulting coordinates and runs them through get_elevation.
When you combine global searching with country-specific filtering or elevation checks, you build out location awareness that goes way beyond standard lookups.
How Open-Meteo Geocoding & Elevation MCP Works
- 1 Your AI client sends a request specifying the required location parameters: either a name, a set of coordinates, or an ISO country code.
- 2 The MCP Server routes the query to the correct internal tool (
search_location,get_elevation, etc.) and executes the lookup against its geospatial data layer. - 3 You receive structured data containing all resolved metrics—coordinates, elevation in meters, population figures, and timezone information.
The bottom line is: it converts ambiguous or raw location text into precise, actionable numerical coordinates and metadata fields.
Who Is Open-Meteo Geocoding & Elevation MCP For?
This server is for data engineers building complex pipelines, logistics platforms needing accurate drop-off points, and travel application developers. If your agent needs to know where something is—down to the elevation—you need this.
Uses it to verify optimal coordinates for new warehouse sites or cross-reference delivery addresses against known national boundaries.
Integrates the search_location and get_elevation tools into a pipeline that enriches raw, unstructured text data with verified geospatial metadata.
Uses location lookups to provide users with accurate local timezones, population context, and the elevation change when planning multi-city trips.
What Changes When You Connect
- Pinpoint location details instantly. Running
search_locationgives you more than just a coordinate; you get population estimates, timezone data, and postal codes for any global city name. - Determine altitude precisely. Use the
get_elevationtool to calculate meters above sea level for any specific GPS point—crucial when dealing with mountaineering or geological models. - Improve search accuracy dramatically. If you only want results in France, run a query using
search_location_by_countryand pass 'FR' as the filter. It cuts out all noise. - Handle multilingual data sets. The
search_locationtool supports searching for locations regardless of the language used to name them, making your agent much more resilient. - Contextualize results automatically. By combining location search with elevation lookup, you can determine if a target site is flat or on a major mountain range.
Real-World Use Cases
Validating a New Construction Site
A developer needs to know the exact altitude of a potential building site. They run search_location first using the address name, get the approximate coordinates, and then immediately pass those coordinates into the get_elevation tool. The agent returns the precise elevation (e.g., 450m), letting the developer calculate foundation costs before sending plans to engineering.
Finding a Niche City in a Large Country
A researcher is looking for small towns in Brazil but doesn't want results from neighboring countries. They use search_location_by_country and pass 'BR'. This limits the scope, allowing them to find specific villages by name without dealing with international noise or ambiguity.
Timezone Mapping for Global Events
A marketing team is planning a global webinar. Instead of manually checking timezones, they ask their agent to run search_location on all five target cities (e.g., Sydney, London, New York). The tool instantly returns the timezone identifier and local offset for each location.
Geocoding Historical Records
A historian has a list of old place names from multiple languages. They feed this list into search_location. The agent resolves these historical names into modern GPS coordinates, allowing the system to map and plot the data onto a single digital map.
The Tradeoffs
Assuming Global Search Works Everywhere
Asking the AI client simply for 'London' without context might return coordinates for London, UK, when you actually needed London, Ontario. The results are ambiguous.
→
If your target is known to be in a specific country, always use search_location_by_country first. This narrows the search scope and forces the tool to constrain the results to the correct national database.
Using General Search for Altitude
Trying to guess elevation by just searching a location name ('Mount Everest'). The general search_location only gives metadata, not altitude.
→
You must use the dedicated get_elevation tool. You need coordinates first (use search_location), and then pass those specific lat/lon values into get_elevation to get an accurate elevation reading.
Ignoring Multilingual Needs
Building a system that only searches for city names in English, completely failing when the user inputs German or Mandarin.
→
Rely on search_location. Its core capability is multilingual search; it handles different languages without you needing to build separate lookup endpoints for each one.
When It Fits, When It Doesn't
Use this server if your primary need involves converting place names or coordinates into structured, verifiable geospatial data (lat/lon, altitude, timezones). This tool set is perfect when the problem is: 'What are the exact physical metrics of this location?'
Don't use it if you only need high-level regional data, like general climate patterns or real-time traffic flow. For those needs, you'll need a dedicated mapping service (like Google Maps Platform or OpenWeatherMap). If your data is purely time-series behavioral information (e.g., user click paths), this tool won't help; you’ll need a different kind of database connector.
Crucially, remember the difference between searching for a place name (search_location) and calculating its physical height (get_elevation). They are two separate steps that must be chained together in your agent workflow.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open-Meteo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 3 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manual location data collection is a nightmare of copy/paste fields.
Right now, if you need to map out a sequence of stops—say, for a logistics route—you spend hours cross-referencing spreadsheets. You find 'Springfield' in one sheet and its coordinates in another. Then you have to manually check the timezone against a third source before confirming the elevation on a fourth map service. It’s tedious, slow, and prone to copy/paste errors.
With this MCP server, your agent handles the whole process. You just give it the raw names ('Springfield', 'IL'). The system runs `search_location`, gets coordinates, pulls the timezone, and you get a clean JSON payload ready for your application—no manual lookup required.
Open-Meteo Geocoding & Elevation MCP Server: Get precise elevation data.
Before this tool, figuring out if a mountain pass was at sea level or 3,000 meters required you to use multiple specialized services. You'd search the name, get coordinates, and then have to feed those specific numbers into another API just for altitude. It added latency and complexity.
Now, your agent can chain these calls automatically. Start with `search_location` to verify coordinates, and immediately pass that result into `get_elevation`. You get a single, reliable data point—the exact elevation in meters—without leaving the conversation thread.
Common Questions About Open-Meteo Geocoding & Elevation MCP
How do I find coordinates for an address using the search_location tool? +
The search_location tool resolves any named location globally, returning structured data including latitude and longitude. Just provide the city name or village name—it handles the lookup.
Does get_elevation require me to know the coordinates beforehand? +
Yes, get_elevation needs a specific lat/lon pair as input. You typically run search_location first to get the accurate coordinates before calling this tool.
What if I only want results in Germany? Should I use search_location or search_location_by_country? +
Use search_location_by_country. It is designed specifically to filter the global result set, guaranteeing that all returned locations adhere to the ISO code you provide (e.g., 'DE').
Is this server good for finding populations? +
Yes. The search_location tool returns population estimates along with coordinates and timezones, giving you a full demographic context right out of the box.
What happens if I try to run a search using the `search_location` tool for an invalid name? +
The server returns a specific error code and message. Don't assume failure; check the response payload for details on why the location couldn't be resolved. This helps you refine your input immediately.
Are there usage limits or rate limits I should know about when using `get_elevation`? +
Vinkius manages server quotas, but we recommend checking the service documentation for current rate limits. If you hit a limit, your agent will receive a 429 status code; simply wait and retry the call.
Does `search_location` provide more data points than just coordinates, like timezones or postal codes? +
Yes. When you use search_location, it fetches several pieces of metadata for the resolved location. You'll get population figures, time zones, and full postal code ranges alongside the latitude/longitude.
What exact format does `search_location_by_country` require for the country identifier? +
It requires standard ISO 3166-1 alpha-2 codes. For example, use 'US' for the United States or 'DE' for Germany. Using a full name will cause the search to fail.
What data source powers the geocoding? +
Location data is sourced from GeoNames — the world's largest geographical database with over 25 million place names. Elevation uses a 90-meter digital elevation model (DEM) for terrain precision.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Google Sheets
Interact with Google Sheets to read, write, and manipulate data via AI.
vCard Contacts Parser Extended
Instantly convert massive iPhone and Android `.vcf` contact exports into structured JSON. Turn your AI into a hyper-intelligent local address book.
Foursquare Alternative
Manage your location data — audit places, photos, and tips via AI.
You might also like
Notion
Unified AI interface for your Notion workspace — search pages, query databases, and manage blocks via AI.
Kava Explorer
Explore the Kava blockchain — inspect accounts, track transactions (extrinsics), monitor blocks, and analyze validator performance via Subscan.
MyScale (SQL Vector Database API)
Manage MyScale vector databases via SQL — execute queries, perform vector searches, and manage indices directly from any AI agent.