Autario Data Analytics Platform

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

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

How to connect

How to connect Autario Data Analytics Platform to Claude

The server address to paste into Claude settings:

https://data--autario.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Autario Data Analytics Platform to ChatGPT

The server address to paste into ChatGPT settings:

https://data--autario.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Autario Data Analytics Platform to Cursor

The server address to paste into Cursor settings:

https://data--autario.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (12)

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

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.
get_dataset_infoGet full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.
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.
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.
list_chartsList published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.
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}.
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.
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.
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.
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.
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.
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.