MCP Server para as APIs públicas do IBGE - Acesso a dados estatísticos, geográficos e econômicos do Brasil
Free
Nothing to run from here
Autario is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
Open Installation—
p95 latency
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call success
local
runs on your machine
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calls last 7d
What it does
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
Quickstart
# 1 — run it from where its publisher ships it
npx -y autario-mcp
# 2 — ask your agent something
> MCP server for Autario | search, query, join, and analyze 2,700+ public datasets (World Bank, FRED, Eurostat, OECD, WHO, ECB, US Census
Autario is free: there is no plan to choose, no cap to set and nothing that can bill you.
Publishernot claimed
AUAll 1 server
autario1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Autario as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. It is scanned, signed and pinned to the version you choose — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. Claude Code registers it in one command.
claude mcp add autario-mcp -- npx -y autario-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free to install, and it runs from its publisher’s own package: no account, no key, no card.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
31 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
List the autario data apps (the app catalog): id, name, what each app does, its live page URL, and data_scope (private = the app works on the caller\
Takes no parameters.
Example callreturns →
YOUR data-app workspace in ONE call: every autario app the calling user has activated or connected, each with its providers, connector-backed tables (dataset_id/slug + row count + last refresh), saved artifact list and a ready-to-run query example. THE first call when a user references
Takes no parameters.
Example callreturns →
Audience 360 | the caller\
Takes no parameters.
Example callreturns →
SEO 360 | the caller\
Takes no parameters.
Example callreturns →
Social 360 | the caller\
Takes no parameters.
Example callreturns →
AI Visibility 360 | the caller\
Takes no parameters.
Example callreturns →
Bubble Or Not? | Check whether a public US stock\
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
Get the column names, data types, total row count, AND a machine-legible
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
Delete all rows from a dataset while keeping the schema and columns intact. Useful for refreshing data before re-importing. Requires AUTARIO_API_KEY.
Takes no parameters.
Example callreturns →
Permanently delete a dataset and all its data. This action cannot be undone. Only the dataset owner can delete it. Requires AUTARIO_API_KEY.
Takes no parameters.
Example callreturns →
Pull the latest data from a connector\
Takes no parameters.
Example callreturns →
Report a data-quality problem you found in a dataset or chart, so the engine can fix it. Use this during a QA pass when you spot: a dataset that looks truncated / only partially ingested (far fewer rows than the source should have), a unit that contradicts the value range (unit
Takes no parameters.
Example callreturns →
Fetch data for ONE entity across MULTIPLE indicators — joined automatically on time via shadow columns. This is the
Takes no parameters.
Example callreturns →
Verify that a claimed value is correct. Use this when a user asks
Takes no parameters.
Example callreturns →
Compute Pearson + Spearman correlation between two indicators for one entity. Returns r, p-value, n, and human-readable interpretation. Use for
Takes no parameters.
Example callreturns →
Linear regression of y ~ x for one entity. Returns slope, intercept, R² and interpretation. Use for
Takes no parameters.
Example callreturns →
Period-over-period percentage change for an indicator. Use for growth rates (YoY, QoQ, MoM).
Takes no parameters.
Example callreturns →
Rolling window statistics (mean/std/min/max/sum) for an indicator. Smooths noise, reveals trends.
Takes no parameters.
Example callreturns →
KILLER ANALYSIS: given a target KPI + multiple candidate indicators, rank which candidates best predict the target by correlation strength. Perfect for
Takes no parameters.
Example callreturns →
CONFOUNDER-AWARE DRIVER ANALYSIS: fits ONE multiple regression of the target on ALL candidates jointly, so each effect is estimated holding the other candidates constant. Distinguishes
Takes no parameters.
Example callreturns →
Cross-correlation at multiple lags. Answers
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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).
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
HEADLINE OP: given an outcome metric + entity, rank which other metrics best explain the outcome. Auto-selects candidates from the ontology if
Takes no parameters.
Example callreturns →
List published chart visualizations on Autario. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses.
Takes no parameters.
Example callreturns →
Publish a chart via freeform Plotly spec. Use create_chart_from_spec instead unless you need a Plotly feature the Builder spec doesn\
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
Freeyour plan
$0 forever
- Every tool, no call limit
- No card, no account needed
- Source published under a licence you can read
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because nothing bills
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable. Autario costs nothing to install and nothing to call, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
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Alert at 80% · then the tool returns a normal MCP error
Used this month: $8.42
$16.58 left
ATrust score 99 / 100
Release 2.11.0 · scanned 25 Aug 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score99
Findings0 threat · 0 capability
Capabilityminimal
Coveragesource
Verificationrepo
Surface digeste6dfcb0d5ef53e3596229775afb7a081c6115f22ff529dc4342335efaface4e6
Score vectorthreat 100 → client 99
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfacenot available
Implementation sourceread
Package metadataread
Live transportnot available
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
No tool surface was enumerated, so there is nothing to attribute a capability to.
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digeste6dfcb0d5ef53e35
Scanned2026-08-25
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Pinned to 2.11.0 — the install command below asks for that release. A pin is part of an install, so it is kept for this visit and written down when you install.
2.11.0
undated
installedNo release note was published with this version.
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no reviews yet
Reviews are earned
Only accounts with at least 50 real tool calls against this server in the last 90 days can post. Ratings are weighted by how much the reviewer actually uses it, and publishers can reply once per review.
Reviews are earned
Writing one takes an account with at least 50 real tool calls against Autario in the last 90 days. That is the whole gate — there is no other way to post, which is why the counts beside each review are worth reading.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes an account with 50 real tool calls against it.