Autario/autario-mcp

autario is data app infrastructure: your tools and thousands of public datasets in one normalized layer, with the data apps that run on top of it.
**Connect your platforms, then let your assistant interpret the numbers.** Connect your ad accounts, your shop, your web analytics, your social profiles, your CRM and your finance tools on autario once. Through this MCP server your assistant reads those tables, joins them and explains what moved: spend, revenue and ROAS per channel, the audience behind a traffic change, the posts that worked. The public catalogue (World Bank, FRED, Eurostat, OECD, WHO, IMF, SEC) sits next to your own data as context, so a sales dip can be read against inflation or market growth in the same answer.
- **Brands and instances.** Group connected accounts by brand, and pick which accounts (instances) a report reads, so an agency asks about one brand without another brand's numbers in the answer.
- **Numbers the model does not make up.** Report tools return what autario computes server-side from your own tables, and every public value cites its primary source, so the model explains figures instead of recomputing or guessing them.
- **57 tools, each marked read or write.** The Access column in the Tool Reference below comes from each tool's own annotations, so a client can allow the read tools and ask before a write.
- **Remote or local.** Point any HTTP MCP client at https://autario.com/mcp with no install, or run it over stdio with npx autario-mcp.
autario.com | Developer docs | Get an API Key
Why autario-mcp
- **Your platforms, not just public data.** Ads, shop, analytics, social, CRM and finance connectors land in tables your assistant can query, join and compare, and marketing_report, social_360 and the other report tools return the same numbers the app shows.
- **No hallucinated numbers.** Every value is sourced from a known publisher and cited back to a primary URL. Use verify_value to double-check any claim.
- **Cross-dataset joins, no setup.** Indicators across different datasets share autario_time + autario_entity shadow columns, so get_entity_data(USA, [gdp, unemployment, life_expectancy]) returns one wide table, joined automatically.
- **Statistical primitives built-in.** correlate, regression, find_drivers, lag_analysis, seasonality_decomposition and more, with effect sizes, p-values, and plain-language interpretations.
- **Charts that persist.** publish_chart writes a Plotly spec to autario.com. The result is a permanent, embeddable URL like autario.com/chart/{slug} | the LLM builds the spec, autario pulls real rows for it, no hallucinated data path.
- **LLM-agnostic.** Works with Claude, GPT, Gemini, local models | anything that speaks MCP.
Quick Demo
Install the server, then ask your assistant questions like these. The model picks the right tools and answers with cited data.
Install
Claude Desktop, Cursor, Cline (stdio)
~/.config/claude/claude_desktop_config.json on Mac/Linux, %APPDATA%\Claude\claude_desktop_config.json on Windows.
Restart your client. The server reports tool count to stderr on launch.
Claude Web, OpenAI Custom GPTs, any HTTP MCP client
Point your client at the hosted endpoint. No install needed.
The hosted endpoint also supports MCP prompts: analyze-dataset, create-chart, compare-countries.
Enable write tools (publish charts, create datasets)
Add API credentials to the stdio config or send them as x-api-key / x-api-secret headers to the HTTP endpoint.
Get keys at autario.com/account.
Tool Reference
_57 MCP tools, organized by function._
Discovery & Query
Search the catalog, inspect schemas, pull rows.
| Tool | Access | What it does | Parameters |
| --- | --- | --- | --- |
| search_datasets | read | 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 tab... | query (string), category (string), visibility (string), limit (number), page (number), format (string) |
| discover_by_topic | read | 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 articl... | **topic** (string), depth_pref (string), recency_window (string), limit (number) |
| list_indicators | read | 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, healt... | topic (string), unit (string), frequency (string), entity_type (string), publisher (string), search (string), limit (number) |