Overview
What is StatCan Web Data Service MCP Server?
StatCan Web Data Service MCP Server is a Model Context Protocol (MCP) server that provides access to Statistics Canada's Web Data Service, allowing AI assistants to discover, explore, analyze, and cite Canadian statistical data through natural language.
How to use StatCan Web Data Service MCP Server?
To use the server, clone the repository, set up a virtual environment, install dependencies, and start the server. You can then configure it with AI assistants like Claude to query Canadian statistics.
Key features of StatCan Web Data Service MCP Server?
- Dataset discovery by keywords, themes, or geography
- Data retrieval with proper formatting for time series data
- Detailed metadata exploration
- Persistent storage using SQLite
- Advanced statistical analysis and forecasting
- Data visualizations with Vega-Lite integration
- Proper citation generation for datasets
- Robust error handling and API resilience
Use cases of StatCan Web Data Service MCP Server?
- Discovering datasets related to consumer prices in Canada.
- Analyzing trends in GDP over time.
- Generating visualizations for unemployment rate changes.
- Citing Statistics Canada data in academic work.
FAQ from StatCan Web Data Service MCP Server?
- Can I use this server for all Statistics Canada datasets?
Yes, it provides access to a wide range of datasets available through the StatCan Web Data Service.
- Is there a limit to the number of queries I can make?
Yes, high-volume queries may be throttled by the StatCan WDS API due to rate limiting.
- How do I handle API errors?
The server includes robust error handling and fallback mechanisms to ensure data access.