Geocontext
An experimental MCP server that provides geospatial context services for LLMs, integrates data and services from the French Geoplateforme, and supports spatial functions such as geocoding, altitude query, administrative information, and urban planning.
rating : 2.5 points
downloads : 6.8K
What is GeoContext?
GeoContext is an MCP server specifically designed for AI assistants, allowing AI to access real geographical information services. By connecting to the French Geoplateforme, AI can accurately answer various geographical questions, such as those about address locations, altitudes, administrative region information, and land planning.Why is GeoContext needed?
Traditional AI often gives seemingly reasonable but actually incorrect results when dealing with geographical information. GeoContext connects to authoritative geographical data sources to ensure that the geographical information provided by AI is accurate and reliable, thus solving the hallucination problem of AI in the geographical field.Applicable scenarios
Suitable for various scenarios that require processing French geographical information: real - estate queries, urban planning, tourism consultations, administrative services, environmental analysis, and any applications that need accurate geographical data.Main features
Geocoding service
Convert place names into precise latitude and longitude coordinates, based on the autocomplete service of the French Geoplateforme.
Altitude query
Query precise altitude information based on latitude and longitude coordinates.
Administrative information query
Get administrative information (municipalities, departments, regions, etc.) of any location.
Cadastral information
Query land registration information, including detailed information such as plots and map sheets.
Urban planning
Get information on urban planning documents (PLU, POS, CC, PSMV, etc.).
Geographical data exploration
Browse and search various geographical datasets on the French Geoplateforme.
Advantages
Data accuracy: Connect to authoritative geographical data sources to avoid geographical information hallucinations in AI.
Response optimization: Well - designed data interfaces to minimize response size and save AI tokens.
No data replication: Use the Geoplateforme services directly to keep the data up - to - date.
Easy integration: Standard MCP protocol, supporting multiple AI assistant platforms.
Limitations
Currently mainly covers geographical data in France.
In the experimental stage, the functions may not be stable enough.
Some advanced functions require professional knowledge to be fully utilized.
Depends on the availability of external geographical service platforms.
How to use
Install GeoContext
Add the GeoContext MCP server to your AI assistant configuration.
Restart the AI assistant
Restart your AI assistant application to load the new MCP server.
Start using
Now you can ask your AI assistant any questions related to French geography.
Usage examples
Query administrative information
Get detailed administrative region information of a specific location.
Altitude query
Query the precise altitude of a certain location.
Urban planning information
Get information on urban planning documents of a specific location.
Data statistical query
Conduct statistical analysis based on geographical data.
Frequently Asked Questions
Which regions' data does GeoContext support?
Is it necessary to pay for using it?
How often is the data updated?
Which AI assistants are supported?
How to report problems or suggest new functions?
Related resources
GitHub repository
Source code and the latest documentation
MCP protocol documentation
Official documentation of the Model Context Protocol
French Geoplateforme
Underlying data service provider
Problem feedback
Report problems and feature requests

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