Summary
This is your reach-for-it tool when you need to work with spreadsheet data without spinning up a database. It handles CSV, JSON, and XLSX files directly, giving Claude the ability to load tabular data, run queries, perform group-by operations, and calculate statistics on the fly. Perfect for ad hoc data analysis tasks, quick reporting from exports, or when you're prototyping and want to interrogate datasets without the overhead of importing them into Postgres or SQLite. The stdio transport keeps it simple to run locally alongside your agent workflows.
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Public tool metadata for what this MCP can expose to an agent.
12 tools
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.4 params
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.
Parameters* required
categorystringFilter by category. Options: "Finance & Economics", "Trade", "Technology", "Health & Society", "Energy", "Environment", "Demographics", "Education", "Infrastructure"
limitnumberMaximum number of results to return (default 20, max 100)default: 20
pagenumberPage number for pagination (default 1)default: 1
querystringSearch term to match against dataset titles, descriptions, and keywords (e.g. "GDP growth", "CO2 emissions", "unemployment rate")
get_dataset_infoGet full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.1 params
Get full metadata for a specific dataset including title, description, publisher, category, keywords, row count, and creation date.
Parameters* required
dataset_idstringThe UUID of the dataset to retrieve metadata for
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.1 params
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.
Parameters* required
dataset_idstringThe UUID of the dataset to get the schema for
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.6 params
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.
Parameters* required
dataset_idstringThe UUID of the dataset to query
fieldsstringComma-separated list of columns to return (e.g. "country_code,year,value")
filterarrayFilter conditions as "column:operator:value". Operators: eq, neq, gt, lt, gte, lte, like. Example: ["country_code:eq:USA", "year:gte:2000"]
limitnumberMaximum number of rows to return (default 100, max 10000)default: 100
offsetnumberNumber of rows to skip for pagination (default 0)default: 0
sortstringSort column and direction (e.g. "year:desc", "value:asc")
list_chartsList published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.3 params
List published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.
Parameters* required
limitnumberMaximum number of charts to return (default 20, max 100)default: 20
offsetnumberNumber of charts to skip for paginationdefault: 0
qstringSearch term to filter charts by title or question
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}.1 params
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}.
Parameters* required
chart_idstringThe chart ID (numeric) or slug (hash like "nMGf-iAO") to retrieve
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....5 params
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....
Parameters* required
dataset_idsarrayArray of dataset UUIDs that this chart uses. Autario pulls real data from these datasets to ensure no hallucinated values
insightstring2-3 sentence data insight with specific numbers from the queried data. Must use verified numbers from query_dataset results, never from training data
narrationstringLonger description of the analysis methodology and context
plotly_specobjectPlotly specification with traces array and layout object. Traces use x_col/y_col for column references and group_by/group_value for filtering (e.g. {"traces": [{"x_col": "year", "y_col": "value", "...
titlestringChart title. Include time range in parentheses, use pipe | as separator (e.g. "GDP Growth | Major Economies (2000-2024)")
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.5 params
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.
Parameters* required
chart_idstringThe chart ID or slug returned by publish_chart
insightstringUpdated insight text with verified numbers
narrationstringUpdated analysis description
plotly_specobjectUpdated Plotly specification with traces and layout
titlestringUpdated chart title
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.4 params
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.
Parameters* required
categorystringCategory for the dataset (e.g. "Finance & Economics", "Health & Society", "Environment")
descriptionstringDescription of the dataset contents, source, and methodology
is_publicbooleanWhether the dataset is publicly visible (default false)default: false
titlestringDataset title (e.g. "Global CO2 Emissions by Country")
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.2 params
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.
Parameters* required
dataset_idstringThe UUID of the dataset to append rows to
rowsarrayArray of row objects where keys are column names (e.g. [{"country": "USA", "year": "2024", "value": "25000"}])
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.1 params
Delete all rows from a dataset while keeping the schema and columns intact. Useful for refreshing data before re-importing. Requires AUTARIO_API_KEY.
Parameters* required
dataset_idstringThe UUID of the dataset to clear all rows from
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.1 params
Permanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.
Parameters* required
dataset_idstringThe UUID of the dataset to permanently delete
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Categories
Registryactive
Package@infoinlet/mcp-data
TransportSTDIO
UpdatedMay 29, 2026
