autario-mcp

Name: autario-mcp
Author: Unknown

MCPcommunity

v2.11.2UnknownMITUpdated 6d agonpm GitHub

MCP server for Autario | search, query, join, and analyze 2,700+ public datasets (World Bank, FRED, Eurostat, OECD, WHO, ECB, US Census, IMF). Cross-dataset joins via shared ontology, statistical analysis (correlation, regression, drivers, lag), and chart

Works in

ClaudeCursorCopilotGemini

Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →

356Downloads/wk

6d agoLast update

Reads these credentials

AUTARIO_API_KEYAPI keyoptional
Autario API key from autario.com account settings. Optional: public datasets and stats work without it; needed for private data, connectors and publishing.
AUTARIO_API_SECRETAPI keyoptional
Autario API secret paired with AUTARIO_API_KEY. Optional, same scope as the key.

Declared by the author in the official MCP registry. Forge does not store, broker, or ever see these values — the config below is scaffolded with placeholders you fill in locally.

Package

AuthorUnknown

LicenseMIT

Version2.11.2

Sourcenpm+mcp-registry

npmautario-mcp

GitHubautario/autario

SBOMCycloneDX 1.6 ↓

Trust Status

60/100Good

✓Listed in Forge index+10/10

—Publisher identity verified+0/20

→ Publisher: run `forge publish` from the package repo to claim ownership

—Ed25519 publish signature+0/5

→ Included automatically when the publisher runs `forge publish`

—Domain verification+0/5

→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }

—npm Trusted Publishing (Sigstore)+0/5

→ Publish from GitHub Actions with --provenance so the attestation binds this package to this repo

—npm maintainer match+0/5

→ Earned once your identity is verified above and that login is an npm maintainer of this package

✓CVE scan · clean+30/30

✓Static analysis · clean+20/20

Paste into Claude Code, Cursor, or any AI assistant to fix all gaps

StatusCommunity-indexed

PublisherUnverified

SignatureUnsigned

Domain—

Provenance—

Dependencies✓ 60 resolved+ · none vulnerable

Tool surface40 tools · 2 privileged

Security scan✓ Cleanv2.11.2 · 4d agoHow well does this scan work?

EvalsNone

IndexedAug 28, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

40 tools · 2 privileged

Statically extracted from the published packagev2.11.2 · 4d ago

Read out of the source npm actually ships, at scan time. The package was never executed. Tools registered dynamically at runtime, or hidden inside bundled or minified code, can be missed — so this is a floor on the tool surface, not a complete census of it.

Filter toolsPrivileged only

get_traction_overviewNo description published

This tool published no description. Forge does not invent one.

get_engine_reportNo description published

This tool published no description. Forge does not invent one.

list_appsNo description published

This tool published no description. Forge does not invent one.

get_app_contextNo description published

This tool published no description. Forge does not invent one.

get_my_workspaceNo description published

This tool published no description. Forge does not invent one.

get_app_artifactNo description published

This tool published no description. Forge does not invent one.

audience_360No description published

This tool published no description. Forge does not invent one.

seo_360No description published

This tool published no description. Forge does not invent one.

social_360No description published

This tool published no description. Forge does not invent one.

ai_visibility_360No description published

This tool published no description. Forge does not invent one.

bubble_or_notNo description published

This tool published no description. Forge does not invent one.

discover_by_topicNo description published

This tool published no description. Forge does not invent one.

search_datasetsNo description published

This tool published no description. Forge does not invent one.

get_dataset_infoGet full metadata for a specific dataset including title, description, publisher, category, keywords, row count, creation date, AND ontology fields (topic, subtopic, unit, frequency, entity_type, indicator_id, source_time_col, source_value_col, source_entity_col, data_granularity). The `unit` field…

Get full metadata for a specific dataset including title, description, publisher, category, keywords, row count, creation date, AND ontology fields (topic, subtopic, unit, frequency, entity_type, indicator_id, source_time_col, source_value_col, source_entity_col, data_granularity). The `unit` field…

No input schema was published for this tool.

get_dataset_schemaNo description published

This tool published no description. Forge does not invent one.

query_datasetNo description published

This tool published no description. Forge does not invent one.

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.

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.

No input schema was published for this tool.

write_rowsprivilegedAppend 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.

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.

No input schema was published for this tool.

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 all rows from a dataset while keeping the schema and columns intact. Useful for refreshing data before re-importing. Requires AUTARIO_API_KEY.

No input schema was published for this tool.

delete_datasetprivilegedPermanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.

Permanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.

No input schema was published for this tool.

list_connectorsNo description published

This tool published no description. Forge does not invent one.

refresh_connectorPull the latest data from a connector's source REST API now and refresh its hosted Postgres table on Autario. Returns the new row count and the dataset_id you can then read with query_dataset / get_dataset_schema. Use when the user wants fresh data before analysis. The connector must already exist…

Pull the latest data from a connector's source REST API now and refresh its hosted Postgres table on Autario. Returns the new row count and the dataset_id you can then read with query_dataset / get_dataset_schema. Use when the user wants fresh data before analysis. The connector must already exist…

No input schema was published for this tool.

report_data_issueNo description published

This tool published no description. Forge does not invent one.

get_company_snapshotNo description published

This tool published no description. Forge does not invent one.

list_indicatorsBrowse the Autario indicator registry — semantic layer over all 2600+ datasets. Each indicator has a topic (economy, health, energy, …), unit (USD, %, years, …), frequency (year/month/day), and entity_type (country/subnational/aggregate). Use this to discover what data is available before querying…

Browse the Autario indicator registry — semantic layer over all 2600+ datasets. Each indicator has a topic (economy, health, energy, …), unit (USD, %, years, …), frequency (year/month/day), and entity_type (country/subnational/aggregate). Use this to discover what data is available before querying…

No input schema was published for this tool.

get_entity_profileGet the indicators available for one entity (country, aggregate, etc.). Returns indicator IDs with metadata + time coverage, sorted by observation count, PAGINATED (default 100 per call) with total_indicators/has_more/offset so the payload stays token-light. Page with offset, or narrow with topic.…

Get the indicators available for one entity (country, aggregate, etc.). Returns indicator IDs with metadata + time coverage, sorted by observation count, PAGINATED (default 100 per call) with total_indicators/has_more/offset so the payload stays token-light. Page with offset, or narrow with topic.…

No input schema was published for this tool.

get_entity_dataNo description published

This tool published no description. Forge does not invent one.

compare_entitiesCompare ONE indicator across MULTIPLE entities (e.g. GDP of DEU vs USA vs CHN). BY DEFAULT returns a per-entity summary (first/latest/min/max/avg/count) — enough to say who is highest and how current levels compare — plus row_count + x_range. Pass full=true to ALSO get the wide per-time pivot data[…

Compare ONE indicator across MULTIPLE entities (e.g. GDP of DEU vs USA vs CHN). BY DEFAULT returns a per-entity summary (first/latest/min/max/avg/count) — enough to say who is highest and how current levels compare — plus row_count + x_range. Pass full=true to ALSO get the wide per-time pivot data[…

No input schema was published for this tool.

verify_valueNo description published

This tool published no description. Forge does not invent one.

correlateCompute Pearson + Spearman correlation between two indicators for one entity. Returns r, p-value, n, and human-readable interpretation. Use for "does X move with Y?" questions. Includes causation disclaimer automatically.

Compute Pearson + Spearman correlation between two indicators for one entity. Returns r, p-value, n, and human-readable interpretation. Use for "does X move with Y?" questions. Includes causation disclaimer automatically.

No input schema was published for this tool.

regressionLinear regression of y ~ x for one entity. Returns slope, intercept, R² and interpretation. Use for "how does X predict Y?" questions.

Linear regression of y ~ x for one entity. Returns slope, intercept, R² and interpretation. Use for "how does X predict Y?" questions.

No input schema was published for this tool.

pct_changePeriod-over-period percentage change for an indicator. Use for growth rates (YoY, QoQ, MoM).

Period-over-period percentage change for an indicator. Use for growth rates (YoY, QoQ, MoM).

No input schema was published for this tool.

rolling_statsRolling window statistics (mean/std/min/max/sum) for an indicator. Smooths noise, reveals trends.

Rolling window statistics (mean/std/min/max/sum) for an indicator. Smooths noise, reveals trends.

No input schema was published for this tool.

find_driversKILLER ANALYSIS: given a target KPI + multiple candidate indicators, rank which candidates best predict the target by correlation strength. Perfect for "what moves my KPI?" questions. Returns ranked list with r, p-value, R² for each candidate. Maximum 30 candidates per call.

KILLER ANALYSIS: given a target KPI + multiple candidate indicators, rank which candidates best predict the target by correlation strength. Perfect for "what moves my KPI?" questions. Returns ranked list with r, p-value, R² for each candidate. Maximum 30 candidates per call.

No input schema was published for this tool.

decompose_driversNo description published

This tool published no description. Forge does not invent one.

lag_analysisCross-correlation at multiple lags. Answers "does A lead or lag B?". Peak |r| at positive lag means A precedes B by that many periods. Common use: "is consumer confidence a leading indicator of retail sales?".

Cross-correlation at multiple lags. Answers "does A lead or lag B?". Peak |r| at positive lag means A precedes B by that many periods. Common use: "is consumer confidence a leading indicator of retail sales?".

No input schema was published for this tool.

seasonality_decompositionAdditive decomposition Y = trend + seasonal + residual. Use this to strip the seasonal cycle from a series and reveal the underlying trend | great for monthly or quarterly data (retail sales, unemployment). Returns per-timepoint components + summary amplitude.

Additive decomposition Y = trend + seasonal + residual. Use this to strip the seasonal cycle from a series and reveal the underlying trend | great for monthly or quarterly data (retail sales, unemployment). Returns per-timepoint components + summary amplitude.

No input schema was published for this tool.

describeSummary statistics for a single indicator+entity: n, mean, median, std, min/max, quartiles, skew, histogram. Use FIRST before running any test so you know what the data looks like (sample size, completeness, distribution shape).

Summary statistics for a single indicator+entity: n, mean, median, std, min/max, quartiles, skew, histogram. Use FIRST before running any test so you know what the data looks like (sample size, completeness, distribution shape).

No input schema was published for this tool.

calculateCreate a derived series from two indicators using an Excel-style op: ratio (A/B), ratio_pct (A/B*100), diff (A-B), sum (A+B), product (A*B). Returns the per-timepoint result + summary. Use for things like debt-to-GDP ratio, revenue-per-employee, spread between two yields.

Create a derived series from two indicators using an Excel-style op: ratio (A/B), ratio_pct (A/B*100), diff (A-B), sum (A+B), product (A*B). Returns the per-timepoint result + summary. Use for things like debt-to-GDP ratio, revenue-per-employee, spread between two yields.

No input schema was published for this tool.

what_mattersHEADLINE OP: given an outcome metric + entity, rank which other metrics best explain the outcome. Auto-selects candidates from the ontology if `candidates` is omitted (same topic + entity_type). Returns a ranking with confidence labels (strong/suggestive/weak/inconclusive) + reason strings + sharpe…

HEADLINE OP: given an outcome metric + entity, rank which other metrics best explain the outcome. Auto-selects candidates from the ontology if `candidates` is omitted (same topic + entity_type). Returns a ranking with confidence labels (strong/suggestive/weak/inconclusive) + reason strings + sharpe…

No input schema was published for this tool.

19 of 40 tools published a description.

Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.

About

Keywords

mcpmodel-context-protocoldatadatasetsontologystatisticscorrelationregressionchartsanalyticsworld-bankfredeurostatoecdaiclaudellm

Alternatives

Comparing tool surfaces…

autario-mcp

Tools

Tools exposed

Dependency tree

Declared but not resolved

Topics

Related in analytics & dashboards