Data

vdappdev2/verusidx-mcp

Gives Claude direct access to encrypted data stored on the Verus blockchain through your local daemon. You can retrieve and decrypt data attached to VerusIDs, sign content with SHA-256, Blake2b, Keccak-256, or Merkle Mountain Range proofs, verify signatures, and manage viewing keys to grant decryption access to others. Part of a seven-server suite that turns Verus into a programmable identity and data layer. Runs entirely local over JSON-RPC with no API keys or cloud dependencies. Enforces read-only mode and audit logging for write operations. Useful when you need verifiable, tamper-proof data storage with cryptographic proofs or selective decryption sharing tied to on-chain identities.

GitHub stars: 2
tools: 12
transport: STDIO
last updated: May 10, 2026

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Tools

12 tools

Public tool metadata for what this MCP can expose to an agent.

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

categorystring

Filter by category. Options: "Finance & Economics", "Trade", "Technology", "Health & Society", "Energy", "Environment", "Demographics", "Education", "Infrastructure"

limitnumber

Maximum number of results to return (default 20, max 100)default: 20

pagenumber

Page number for pagination (default 1)default: 1

querystring

Search 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_idstring

The 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_idstring

The 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_idstring

The UUID of the dataset to query

fieldsstring

Comma-separated list of columns to return (e.g. "country_code,year,value")

filterarray

Filter conditions as "column:operator:value". Operators: eq, neq, gt, lt, gte, lte, like. Example: ["country_code:eq:USA", "year:gte:2000"]

limitnumber

Maximum number of rows to return (default 100, max 10000)default: 100

offsetnumber

Number of rows to skip for pagination (default 0)default: 0

sortstring

Sort 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

limitnumber

Maximum number of charts to return (default 20, max 100)default: 20

offsetnumber

Number of charts to skip for paginationdefault: 0

qstring

Search 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_idstring

The 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_idsarray

Array of dataset UUIDs that this chart uses. Autario pulls real data from these datasets to ensure no hallucinated values

insightstring

2-3 sentence data insight with specific numbers from the queried data. Must use verified numbers from query_dataset results, never from training data

narrationstring

Longer description of the analysis methodology and context

plotly_specobject

Plotly 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", "...

titlestring

Chart 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_idstring

The chart ID or slug returned by publish_chart

insightstring

Updated insight text with verified numbers

narrationstring

Updated analysis description

plotly_specobject

Updated Plotly specification with traces and layout

titlestring

Updated 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

categorystring

Category for the dataset (e.g. "Finance & Economics", "Health & Society", "Environment")

descriptionstring

Description of the dataset contents, source, and methodology

is_publicboolean

Whether the dataset is publicly visible (default false)default: false

titlestring

Dataset 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_idstring

The UUID of the dataset to append rows to

rowsarray

Array 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_idstring

The 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_idstring

The UUID of the dataset to permanently delete