Autario Data Analytics Platform

Name: Autario Data Analytics Platform
Author: autario

Access 2,300+ verified public datasets from World Bank, IMF, Eurostat, OECD, WHO, FRED, and more.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

Search Datasets: Search the Autario public data catalog. Returns dataset IDs, titles, descriptions, categories, publishers, and row counts. Use this first to discover available datasets before queryin
Get Dataset Info: Get full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.
Get Dataset Schema: Get 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.

What data it sees

Do you need an account

No: the server works without sign-in

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

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

Server tool list (12)

Raw names from tools/list. Only developers need these.

search_datasets	Search the Autario public data catalog. Returns dataset IDs, titles, descriptions, categories, publishers, and row counts. Use this first to discover available datasets before querying.
get_dataset_info	Get full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.
get_dataset_schema	Get 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.
query_dataset	Query 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.
list_charts	List published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.
get_chart	Get 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}.
publish_chart	Publish 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.
update_chart	Update 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.
create_dataset	Create 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.
write_rows	Append 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.
clear_rows	Delete all rows from a dataset while keeping the schema and columns intact. Useful for refreshing data before re-importing. Requires AUTARIO_API_KEY.
delete_dataset	Permanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.