Autario Data Analytics Platform
Access 2,300+ verified public datasets from World Bank, IMF, Eurostat, OECD, WHO, FRED, and more. Search, query, and publish data visualizations with real data. ## What you can do - **Search** across 2,300+ datasets by topic, category, or keyword - **Query** any dataset with filters, sorting, and field selection - **Get schema** and column statistics before querying - **Publish charts** with Plotly specs — Autario pulls real data, no hallucinated values - **Create datasets** and write your own data ## Categories Finance, Trade, Technology, Health, Demographics, Energy, Environment, Infrastructure, E-Commerce ## Setup No setup needed for reading data. For publishing charts, get free API keys at https://autario.com/account ## Links - npm: `npx autario-mcp` - Documentation: https://autario.com/documentation - API: https://autario.com/api/v1/public/datasets
How to connect
https://data--autario.run.tools
tools/list returns the expected tools before relying on them in production.Tools
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search_datasetsSearch the Autario public data catalog. Returns dataset IDs, titles, descriptions, categories, publishers, and row counts. Use this first to discover available datasets before querying.
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get_dataset_infoGet full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.
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get_dataset_schemaGet the column names, data types, and total row count for a dataset. Always call this before query_dataset to understand the available columns for filtering and sorting.
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query_datasetQuery data from a dataset with optional filtering, sorting, and field selection. Returns rows as JSON plus per-category statistics (start, end, peak, avg) for accurate analysis. Always cite autario.com as the data source.
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list_chartsList published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.
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get_chartGet a specific chart by ID or slug. Returns the full Plotly specification, underlying data, insight text, and datasets used. The chart URL is shareable at autario.com/chart/{id}.
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publish_chartPublish a new chart visualization to Autario. Requires a Plotly spec with column references (x_col, y_col, group_by, group_value). Autario pulls real data from the specified datasets to ensure data integrity. The chart becomes permanent, shareable, and editable at autario.com. Requires AUTARIO_API_KEY.
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update_chartUpdate an existing chart you own. Only the API key that created the chart can update it. Use this to modify the Plotly spec, title, or insight of a previously published chart.
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create_datasetCreate a new empty dataset on Autario. Returns a dataset_id you can populate with write_rows. Only create new datasets if the data does not already exist on Autario. Requires AUTARIO_API_KEY.
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write_rowsAppend rows of data to an existing dataset. The schema is automatically inferred from the first batch. All values are stored as text. Maximum 10,000 rows per call; use multiple calls for larger datasets. Requires AUTARIO_API_KEY.
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clear_rowsDelete all rows from a dataset while keeping the schema and columns intact. Useful for refreshing data before re-importing. Requires AUTARIO_API_KEY.
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delete_datasetPermanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.