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Query Swiss Federal Archives statistical data using natural language via SPARQL.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LINDAS MCP Server" yet — see the docs or source repo.
Please query LINDAS for statistical data related to the Swiss population, and list available indicators and results by year.
Returns query results from LINDAS structured statistical data, organized by year and indicator.
I want to understand how an official Swiss statistic changes across years. Convert this question into a LINDAS query and provide the results.
Generates the corresponding SPARQL query and returns statistics from the relevant RDF data cube.
Based on my research topic, find relevant structured statistical datasets in LINDAS and explain which dimensions can be queried.
Lists relevant datasets or statistical topics and summarizes the queryable dimensions or fields.
Researchers analyzing Swiss public data can ask questions in natural language, and the tool converts them into SPARQL queries against LINDAS structured statistics. This lowers the barrier to writing queries manually.
Data analysts can use it to quickly locate statistical results in RDF data cubes and inspect data across indicators, years, or other dimensions. It is useful for early exploration and validation.
Developers can integrate this MCP tool into LLM applications so the model can turn user questions into statistical queries over LINDAS. It fits assistants focused on data Q&A.
It enables LLMs to query structured statistical data on the Swiss Federal Archives' LINDAS platform. It translates natural-language questions into SPARQL queries against RDF data cubes.
The data comes from LINDAS, the Swiss Federal Archives' Linked Data platform. The provided information indicates it works with RDF data cubes and structured statistical data there.
The provided materials do not include installation steps, runtime requirements, or key information. Please see the source repository for prerequisites.
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