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Assess natural and industrial risks for French addresses or communes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "risques_territoire_mcp" yet — see the docs or source repo.
Please assess natural and technological risks for the French address "10 Rue de Rivoli, Paris", summarize the main risk types, cite the public data sources, and provide a brief explanation.
A concise overview of risk categories, supporting public data, and a brief risk summary for the address.
Please analyze the risk profile of the French commune "Nice", list possible natural hazards and technological risks, and organize the results by category.
A categorized list of risks for the commune, separated into natural and technological risks.
Please compare the risk levels of these French locations: Lyon, Marseille, and Toulouse. Summarize the main risk types by location and indicate which places have more complex risk profiles.
A multi-location comparison showing which places have broader or more complex risk profiles.
Get French address data on prices, risks, and crime for location analysis.
Access French administrative, geocoding, risk, and property energy data for AI agents.
Validate French addresses, geocode locations, and plan routes from official data.
Search and analyze Loire-Atlantique open data with natural language queries.
Search and query Angers open datasets for mobility, services, and environment insights.
Check England flood risk by postcode using verified official data.