Enables AI agents to search, explore, and analyze open data from Quebec, including Données Québec, Ville de Montréal, and IGO geospatial services, directly through conversational interfaces.
Sponsored
This MCP server empowers AI agents like Claude, ChatGPT, and Gemini to directly access and analyze a wealth of open data from Quebec. By transforming complex data portals into conversational interfaces, users can ask natural language questions to perform SQL queries, explore dataset structures, retrieve geospatial features, and gain instant insights into public information, bypassing manual navigation and data extraction. It integrates data from Données Québec (provincial), Ville de Montréal (municipal), and IGO (geospatial) to provide comprehensive access to public information.
Características Principales
01Direct SQL querying on open datasets via conversational prompts
020 GitHub stars
03Integration with three major Quebec open data sources: Données Québec, Ville de Montréal, and IGO
04Access to OGC geospatial layers and features from IGO
05Conversational exploration and analysis of dataset structures and metadata
06Bilingual (French/English) support for all interactions
Casos de Uso
01Explore and aggregate information from large datasets, such as counting public amenities per administrative division.
02Discover and retrieve details about geospatial layers and features related to cultural heritage or public infrastructure.
03Analyze specific public datasets using natural language SQL queries (e.g., crime statistics by neighborhood or over time).