Open-Meteo MCP. Resolve Place Names into Precise Coordinates and Elevation
Open-Meteo Geocoding & Elevation resolves any place name, city, or address into precise GPS coordinates. It gives you more than just latitude and longitude; it returns population density, time zone data, postal codes, and high-accuracy terrain elevation (up to 90m precision). This is the essential layer for building location-aware applications that require deep geographic context.
Give Claude and any AI agent real-world access
You can search for any city or village by name, regardless of the language used, receiving full location details like population and time zone.
The system restricts your searches to specific countries using their ISO codes, narrowing down results quickly.
You obtain the precise elevation in meters for any set of GPS coordinates based on a 90-meter digital model.
Ask an AI about this
Waiting for input…
What AI agents can do with Open-Meteo Geocoding & Elevation with 3 Tools
These three tools allow you to search for locations globally, filter by specific countries, and calculate precise terrain elevations from any given coordinate pair.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Open-Meteo Geocoding & Elevation MCPSearch Location
Search for any city or place globally, supporting multiple languages and returning coordinates.
Get Elevation
Retrieve the specific terrain elevation in meters for a given set of latitude and...
Search Location By Country
Search for locations, filtering results only to those within a specified country...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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 each 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 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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 CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The Pain of Manual Location Data Lookup
Today, gathering comprehensive geographic data is a pain. If you're building an application that tracks field operations or global inventory, you often start with a list of place names and addresses. Then, for each one, you have to manually copy those names into three different tools: one for coordinates, another for population stats, and yet a third for elevation checks. It’s tedious clicking through multiple tabs and cross-referencing spreadsheets just to build one accurate record.
With this MCP, your agent handles the whole process in one go. You give it a name—say, 'Rocher de Fontainebleau'—and you get back coordinates, population data, time zone details, *and* the specific terrain elevation, all structured and ready for use. The output is clean, comprehensive, and immediately actionable.
Get Full Location Context with Open-Meteo Geocoding & Elevation
You eliminate the need to switch between a dedicated geocoder, a census database, and a digital elevation model. The MCP consolidates all these disparate data sources into one reliable output stream.
What's different now is reliability. You move from fragmented, incomplete location estimates to mathematically accurate coordinates and validated metrics that power truly intelligent applications.
What Open-Meteo MCP does for your AI
If your application needs to know exactly where something is—and what's happening at that spot—this MCP handles it. You stop guessing or relying on generalized maps. Instead, you can feed any city name, from anywhere in the world and in any language, into this system and get a full data packet back.
This includes precise coordinates, whether the location has a specific time zone, population counts, and postal codes.
For example, if you're building a travel app or a logistics tracker, knowing just the name 'Boston' isn't enough. You need to know its exact elevation profile, which is exactly what this MCP gives you. It lets your agent determine terrain elevation for any given coordinate pair using detailed digital models.
Because Vinkius hosts and manages this entire catalog of location services, connecting it means your agent gains reliable access to global spatial data right where it needs it.
It’s the foundational toolset that takes a vague concept—like 'the mountain near Denver'—and turns it into actionable coordinates with elevation metrics.
019d75e8-0611-72da-ba7a-87890c1fb26b How to set up Open-Meteo MCP
The bottom line is that you get clean, structured geographic data without having to write complex API calls or manage multiple lookup services.
Your agent first requests location data, providing either a place name or a list of known country codes.
The MCP processes the request across its internal databases to resolve the specific geographical details and coordinates for the area in question.
You receive a structured JSON output containing latitude, longitude, population metrics, time zone info, and—if requested—the terrain elevation.
Who uses Open-Meteo MCP
This MCP is built for developers and data engineers who deal with real-world location data. If your job requires turning a street address or city name into reliable, actionable coordinates that include elevation, you need this. It helps the GIS analyst tired of manually cross-referencing multiple databases.
Determining the optimal route and verifying if a delivery site is at an altitude high enough for specialized vehicles.
Building pipelines that ingest unstructured place name data and normalize it into standardized, geo-tagged records with elevation context.
Adding features that calculate the altitude of a destination or show historical population changes for different cities.
Benefits of connecting Open-Meteo MCP
Get complete location context. Instead of just knowing a city's name, you get population data, time zones, postal codes, and precise coordinates using the search_location tool.
Calculate terrain height instantly. You can use the get_elevation function to determine the exact altitude for any known GPS point without complex modeling.
Build targeted searches. The search_location_by_country tool lets you filter out noise, ensuring your agent only looks at locations within a specific country’s borders.
Improve data quality across languages. Since the search_location function supports multiple languages, you don't have to worry about translating place names before processing them.
Future-proof your location services. This MCP provides foundational spatial data—coordinates and elevation—that works as a reliable companion for any weather or mapping tool.
Open-Meteo MCP use cases
Planning an international supply route
A logistics manager needs to check the altitude of three different checkpoints along a new railway line. The agent uses get_elevation on each checkpoint's coordinates, providing immediate operational feasibility data.
Building a global directory app
A developer wants to list all major historical sites in France. They use search_location_by_country with the ISO code 'FR' and then use search_location to find specific regional centers, gathering populating data for each.
Writing a travel itinerary generator
A user asks for details on an obscure village in Latin America. The agent uses search_location, which handles the non-English name and returns coordinates, time zone information, and population metrics needed to build the full trip plan.
Validating database records
A data team uploads a spreadsheet of addresses. The agent systematically runs search_location on every address to validate if it's a real place and automatically retrieves its standardized coordinates, reducing manual data cleanup time.
Open-Meteo MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Using basic mapping APIs
A developer only uses a simple map API that returns Lat/Lon pairs but fails to provide associated metrics like population or elevation.
Don't stop at coordinates. Use search_location first to get the rich data set, then run get_elevation on those specific coordinates for full context.
Hardcoding country codes
Writing logic that assumes users will always input English names and forgetting to validate the location against a country filter.
Always start by using search_location_by_country. This forces your agent to confirm the geopolitical context before attempting any searches.
Mixing up coordinate sources
Trying to use an elevation value from a general weather API that isn't based on a precise digital model.
For reliable altitude data, always run the coordinates through get_elevation. It uses a dedicated 90-meter digital elevation model.
When to use Open-Meteo MCP
Use this MCP if your workflow requires turning vague place names into structured, deep spatial records that include not only latitude and longitude but also population counts, time zone data, and reliable terrain elevation. Think of it as the geographic layer for complex systems.
Don't use this if you simply need to display a marker on a map or find basic routing between two points; general mapping services handle that. Also, don't rely on this solely for historical analysis; while it provides population data, its core strength is real-time location resolution and elevation calculation using search_location and get_elevation.
If your need is purely to validate if a coordinate pair exists in the world without needing associated metrics, you might be over-indexing. But if you need all the metadata that comes with a valid location—the whole package—this MCP is what you need.
Frequently asked questions about Open-Meteo MCP
How does Open-Meteo Geocoding & Elevation handle non-English place names? +
It supports any language. The search_location tool resolves global city and village names regardless of the language they are written in, giving you standardized coordinates.
Can I use Open-Meteo Geocoding & Elevation to find elevation? +
Yes, absolutely. Use get_elevation by providing any set of GPS coordinates; it returns the precise terrain height in meters using a 90m digital model.
What if I only have a country code and no city name? +
You can start with search_location_by_country. This tool filters all possible results to that specific ISO country, narrowing your scope before you try searching for a particular location.
Does Open-Meteo Geocoding & Elevation provide time zone data? +
Yes, the search_location function includes timezone information for resolved locations. This is critical for scheduling and multi-region operations.
Is this MCP better than using Google Maps API for location data? +
This MCP excels because it bundles elevation (get_elevation) with metadata like population and timezone, which many general mapping APIs treat as separate services. It provides a richer data set out of the box.