MCP server that wraps the Dagster GraphQL API — manage runs, assets, schedules, sensors, and backfills from any MCP client
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.
99/100
trust score
215
downloads a day
local
runs on your machine
3k
downloads in 30d
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 — add it to Claude Code
claude mcp add --scope user autario-mcp '--' npx -y autario-mcp
# 2 — ask your agent for something these tools do
# get_traction_overview, get_engine_report, list_apps and 54 more
Autario costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
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. Its scan result is on the Security tab — 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. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user autario-mcp '--' npx -y autario-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it runs from its publisher’s own package: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it asks of you
Nothing is required, but it can take AUTARIO_API_KEY (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_SECRET (Autario API secret paired with AUTARIO_API_KEY. Optional, same scope as the key.) if you want to set them.
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
57 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.
ADMIN/CURATOR ONLY, autario's own traction. ONE report uniting the three real signal sources: real human reach (GA4-humans), the MCP/agent channel (mcp_tool_call volume + success-rate + top tools), the signup funnel (new signups, source/medium/trigger) and the activation half of it (charts…
No parameter schema on file.
ADMIN/CURATOR ONLY, autario's own ingest engine. The machine-readable health of the pipeline that pulls World Bank, FRED, Eurostat, OECD, WHO, IMF, ECB, US Census and SEC into the catalog, in ONE snapshot: the ingestion funnel (sources registered to user-visible datasets, with every drop-off…
No parameter schema on file.
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's own connected data from Google Search Console, GA4, Meta Ads, Google Ads, YouTube, TikTok, Instagram, Facebook, Shopify or LinkedIn; public = it…
No parameter schema on file.
The data map behind ONE autario app, so you can query app-first instead of guessing across thousands of datasets. Returns the app manifest (what it consumes, which connector providers it reads | Google Search Console, GA4, Google Ads, Meta Ads, YouTube, TikTok, Instagram, Facebook, Shopify,…
No parameter schema on file.
YOUR data-app workspace in ONE call: every autario app the calling user has activated or connected, each with its platforms (Google Search Console, GA4, Google Ads, Meta Ads, YouTube, TikTok, Instagram, Facebook, Shopify, LinkedIn, Bing), connector-backed tables (dataset_id/slug + row count + last…
No parameter schema on file.
Load ONE saved artifact from an autario data app | the EXACT view state the user saved there (a saved SEO 360 / Audience 360 / Social 360 / AI Visibility 360 report configuration, a Plotly chart spec, a screener view) plus any inline data, so your answer is grounded in what the user actually sees…
No parameter schema on file.
Audience 360 | the caller's OWN audience report over their connected Google Search Console + GA4 + social (Facebook Page, Instagram, TikTok) connector data, computed deterministically server-side (the exact numbers the user sees in the app | nothing re-derived, nothing estimated). Use this FIRST…
No parameter schema on file.
SEO 360 | the caller\
No parameter schema on file.
Social 360 | the caller\
No parameter schema on file.
No parameter schema on file.
AI Visibility 360 | the caller\
No parameter schema on file.
Bubble Or Not? | Check whether a public US stock's price is running ahead of (or backed by) its fundamentals. Overlays the share price against ONE SEC-reported fundamental (Revenue, Net Income, Diluted EPS, Market Cap, P/E Ratio, Earnings Yield, Shares Outstanding) and returns a deterministic,…
No parameter schema on file.
No parameter schema on file.
Create a data app on autario in ONE call, owned by you. You give it a name and an entry: either an https URL where the app already runs, or the app's HTML itself (a single self-contained document, max 512 KB) which autario then hosts and serves inside a locked sandbox. The app id is derived from…
No parameter schema on file.
Update the manifest of an app YOU own: its name, tagline, entry URL, version, source repository and the autario datasets or operations it is allowed to read (consumed_datasets, which is what the sandbox bridge enforces at runtime: a World Bank or FRED dataset id, a live Yahoo quote op, or the…
No parameter schema on file.
Upload or replace the code of an app YOU own: one self-contained entry document (HTML or JavaScript, max 512 KB, no binary). autario stores it and serves it inside a locked sandbox with no outbound network access, so the app reads World Bank, FRED, Eurostat, SEC and connector data through…
No parameter schema on file.
Save an ARTIFACT into an app: the app's own output or saved state, owned by you. An artifact is what get_app_artifact reads back later | a Plotly chart specification, a saved report configuration, a board, a screener view, a table of World Bank or SEC figures the app computed. Give type (your…
No parameter schema on file.
The link to OPEN an app you own, plus where it stands. Returns preview_url (a private, never-indexed page where only you can run the app, reading World Bank, FRED, Eurostat or your own connector data through the sandbox bridge), public_url (null while the app is private, the shareable link once…
No parameter schema on file.
Publish an app YOU own. Takes effect immediately, with no review queue and nobody to ask. Two ways to publish: "public" gives it a tile in the autario app store under Community apps, next to AI Visibility 360 and the World Bank and FRED data surfaces, plus a public URL, "unlisted" gives it only…
No parameter schema on file.
Take an app YOU own back to private: it leaves the autario app store, its public URL stops working for everyone else, and only you can still open it at its preview URL, where it keeps reading World Bank, FRED and connector data as before. Nothing is deleted, and publish_app puts it back. Use it…
No parameter schema on file.
Discover the most relevant verified datasets for a given topic, across the public autario catalog (World Bank, FRED, Eurostat, OECD, IMF, WHO, ECB, US Census, SEC). Use this when starting an article, dashboard, or analysis on a topic | it returns a quality-ranked list weighted by topic-relevance,…
No parameter schema on file.
Search the Autario data catalog by keyword | thousands of normalized public datasets from World Bank, FRED, Eurostat, OECD, WHO, IMF, ECB, US Census and SEC, plus your own uploads and connector tables (Google Search Console, GA4, Meta Ads, Google Ads, YouTube, TikTok, Instagram, Facebook, Shopify,…
No parameter schema on file.
Get full metadata for a specific dataset including title, description, publisher (World Bank, FRED, Eurostat, OECD, WHO, IMF, ECB, US Census, SEC, or your own connector), category, keywords, row count, creation date, AND ontology fields (topic, subtopic, unit, frequency, entity_type, indicator_id,…
No parameter schema on file.
Get the column names, data types, total row count, AND a machine-legible datasheet for a dataset. Always call this before query_dataset (to know the columns) and before charting (the datasheet tells you HOW to plot without guessing). The datasheet block: shape (long|wide|single_series),…
No parameter schema on file.
Query the rows of ONE dataset | a public table from World Bank, FRED, Eurostat, OECD, WHO, IMF, ECB, US Census or SEC, or one of your own uploads / connector tables (Google Search Console, GA4, Meta Ads, Shopify), or a table another account shared with you (read-only, listed by get_my_workspace…
No parameter schema on file.
Create a new empty dataset on Autario, alongside the public catalog (World Bank, FRED, Eurostat, OECD, SEC) but private to you unless you set is_public. Returns a dataset_id you can populate with write_rows, then query with query_dataset and chart with create_chart_from_spec. SEARCH FIRST: only…
No parameter schema on file.
Append rows of data to an existing dataset you own (from create_dataset) | your own numbers, a derived table you computed, or a series you scraped together from World Bank / FRED / Eurostat results. The schema is automatically inferred from the first batch. All values are stored as text. Maximum…
No parameter schema on file.
Delete all rows from a dataset you own while keeping the schema and columns intact. Useful for refreshing your own uploaded table before re-importing. Only your own datasets are reachable | the public catalog (World Bank, FRED, Eurostat, OECD, SEC) and other users' data can never be cleared…
No parameter schema on file.
Permanently delete a dataset you own, and all its data. This action cannot be undone. Only the dataset owner can delete it | the public catalog (World Bank, FRED, Eurostat, OECD, SEC) is a permanent URL contract and is not deletable through this tool. Requires AUTARIO_API_KEY.
No parameter schema on file.
Explain the state of ONE connected platform (Search Console, Shopify, an ads account, an AI usage bill): is its data fresh, which reports arrived, which came back empty because the account has no such data, which did not arrive and why, and who has to act. Returns the connector plus health:…
No parameter schema on file.
Report a data-quality problem you found in an autario dataset or chart (World Bank, FRED, Eurostat, OECD, WHO, IMF, ECB, US Census, SEC or any other publisher in the catalog), so the engine can fix it. Use this during a QA pass when you spot: a dataset that looks truncated / only partially…
No parameter schema on file.
Get current stock metrics for a public company, from live market data joined with its SEC filings. Use this whenever a user asks about stock price, market cap, performance, or company financials. Returns the latest verified data from autario.com instead of relying on training data which is always…
No parameter schema on file.
Browse the Autario indicator registry, the semantic layer over the whole public catalog (World Bank, FRED, Eurostat, OECD, WHO, IMF, ECB, US Census, SEC). Each indicator has a topic (economy, health, energy, …), unit (USD, %, years, …), frequency (year/month/day), and entity_type…
No parameter schema on file.
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 parameter schema on file.
Fetch data for ONE entity across MULTIPLE indicators, joined automatically on time via shadow columns, even when the indicators come from different publishers (World Bank GDP next to FRED unemployment next to Eurostat energy). This is the "cross-dataset join" capability: no manual relationship…
No parameter schema on file.
Compare ONE indicator across MULTIPLE entities (e.g. World Bank GDP of DEU vs USA vs CHN, or a FRED / Eurostat / OECD series across countries). 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 +…
No parameter schema on file.
Verify that a claimed value is correct against the primary source (World Bank, FRED, Eurostat, OECD, WHO, IMF, ECB, US Census, SEC). Use this when a user asks "did you hallucinate that?" or when you want to double-check your cited numbers before presenting. Pass the indicator, entity, time, and…
No parameter schema on file.
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 parameter schema on file.
Linear regression of y ~ x for one entity. Returns slope, intercept, R² and interpretation. Use for "how does X predict Y?" questions.
No parameter schema on file.
Period-over-period percentage change for an indicator. Use for growth rates (YoY, QoQ, MoM) | "how fast did German GDP grow", "what is US CPI doing month over month".
No parameter schema on file.
Rolling window statistics (mean/std/min/max/sum) for an indicator. Smooths noise, reveals trends | use it before claiming a turning point in a monthly FRED or Eurostat series.
No parameter schema on file.
Rank candidate drivers of a KPI one at a time: given a target indicator + multiple candidates, order them 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. Use decompose_drivers instead…
No parameter schema on file.
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 "it was the weather" from "a promo ran at the same time": candidates too entangled to separate (VIF > 5 or…
No parameter schema on file.
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 parameter schema on file.
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 parameter schema on file.
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 parameter schema on file.
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 parameter schema on file.
Answer "what explains this?" in one call: 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), so it can reach across World Bank, FRED, Eurostat, OECD, WHO and IMF…
No parameter schema on file.
List published chart visualizations on Autario, built on the public catalog (World Bank, FRED, Eurostat, OECD, WHO, IMF, SEC) and rendered with Plotly. Returns chart IDs, titles, insights, linked datasets, and creation dates. Use to discover existing analyses before building a new one, and to find…
No parameter schema on file.
AUTARIO-INTERNAL chart queue (admin only): list catalog datasets (World Bank, FRED, Eurostat, OECD, WHO, IMF, SEC) that have NO published chart yet, ranked by relevance, so the content pipeline can fill the gap. Every returned dataset is pre-filtered to be CHARTABLE (the server applies the same…
No parameter schema on file.
Get a specific chart by ID or slug. Returns a COMPACT, token-bounded summary (NOT the raw Plotly spec or full data arrays, which can be megabytes): title, insight/narration, datasets_used (with publisher), chart_type, the time/x range, and a PER-SERIES summary (first/latest/min/max/avg + point…
No parameter schema on file.
Get the Builder spec schema reference. Returns chart_type enum, required/optional fields per type, palette options, axis-override shape, annotation format, and concrete examples. Call this ONCE at session-start; the spec it returns is the input shape for create_chart_from_spec. Cheaper and clearer…
No parameter schema on file.
AUTARIO-INTERNAL high-level chart request (admin only): the server builds the Plotly chart from a catalog dataset (World Bank, FRED, Eurostat, OECD, WHO, IMF, SEC), you do NOT build a spec, but you DO write the insight. TWO-STEP FLOW for a first-try hit: (1) PREPARE - call with dataset_id/query…
No parameter schema on file.
PREFERRED chart-creation path, for any autario dataset (World Bank, FRED, Eurostat, OECD, SEC, or your own upload / connector table). Send a structured Builder spec (chart_type + x_col + y_col[s] + optional group_by, palette, axis overrides, annotations) and Autario renders the Plotly chart with…
No parameter schema on file.
Publish a chart via freeform Plotly spec. Use create_chart_from_spec instead unless you need a Plotly feature the Builder spec doesn't cover (custom shapes, multi-axis layouts, animation frames). Requires AUTARIO_API_KEY. Brand attribution + insight verification gate apply identically to…
No parameter schema on file.
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.
No parameter schema on file.
Pull the latest data from a connector\
No parameter schema on file.
Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Autario or to call it, 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: —
ATrust score 99 / 100
Release 2.29.0 · scanned 14 Oct 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
Scanned2026-10-14
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
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 2.29.0. Pin a release below and the command asks for exactly that one.
2.29.0
14 Oct 2026
latestNo release note was published with this version.
2.28.0
12 Oct 2026
No release note was published with this version.
2.26.0
5 Oct 2026
No release note was published with this version.
2.23.0
5 Oct 2026
No release note was published with this version.
2.22.0
4 Oct 2026
No release note was published with this version.
2.21.2
27 Sep 2026
No release note was published with this version.
2.19.1
24 Sep 2026
No release note was published with this version.
2.15.0
21 Sep 2026
No release note was published with this version.
2.12.3
19 Sep 2026
No release note was published with this version.
2.12.1
15 Sep 2026
No release note was published with this version.
2.12.0
8 Sep 2026
No release note was published with this version.
2.11.5
4 Sep 2026
No release note was published with this version.
2.11.3
undated
- The version this listing was on when mcprush began following its releases. The registry was not asked when it shipped, so this row carries no date.
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One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
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