# Autario MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.autario%2Fautario-mcp
Registry id: `mcp-registry/io.github.autario/autario-mcp`
Status: unknown

## Install

```json
{
  "mcpServers": {
    "autario-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "autario-mcp"
      ]
    }
  }
}
```

Claude Code:

```sh
claude mcp add autario-mcp-server -- npx -y autario-mcp
```

## Tools (38)

- `audience_360`: Get the caller's own audience report over connected data
- `chart_instructions`: Get the Builder spec schema reference
- `clear_rows`: Delete all rows from a dataset you own
- `compare_entities`: Compare ONE indicator across MULTIPLE entities
- `correlate`: Compute Pearson + Spearman correlation between two indicators
- `create_chart_from_spec`: Create a chart from a structured Builder spec
- `create_dataset`: Create a new empty dataset on Autario
- `decompose_drivers`: Confounder-aware driver analysis with multiple regression
- `delete_dataset`: Permanently delete a dataset you own
- `describe`: Summary statistics for a single indicator+entity
- `discover_by_topic`: Discover the most relevant verified datasets for a given topic
- `find_drivers`: Rank candidate drivers of a KPI by correlation strength
- `get_app_artifact`: Load ONE saved artifact from an autario data app
- `get_app_context`: Get the data map behind ONE autario app
- `get_app_preview_url`: Get the link to OPEN an app you own
- `get_chart`: Get a specific chart by ID or slug
- `get_connector_status`: Explain the state of ONE connected platform
- `get_dataset_info`: Get full metadata for a specific dataset
- `get_dataset_schema`: Get column names, data types, and datasheet for a dataset
- `get_entity_data`: Fetch data for ONE entity across MULTIPLE indicators
- `get_entity_profile`: Get the indicators available for one entity
- `list_charts`: List published chart visualizations on Autario
- `list_indicators`: Browse the Autario indicator registry
- `publish_app`: Publish an app YOU own
- `publish_chart`: Publish a chart via freeform Plotly spec
- `query_dataset`: Query the rows of ONE dataset
- `refresh_connector`: Pull the latest numbers from one connected platform
- `regression`: Linear regression of y ~ x for one entity
- `report_data_issue`: Report a data-quality problem in an autario dataset or chart
- `search_datasets`: Search the Autario data catalog by keyword
- `unpublish_app`: Take an app YOU own back to private
- `update_app_manifest`: Update the manifest of an app YOU own
- `update_chart`: Update an existing chart you own
- `upload_app_bundle`: Upload or replace the code of an app YOU own
- `verify_value`: Verify a claimed value against the primary source
- `what_matters`: Answer what explains this outcome metric
- `write_app_artifact`: Save an ARTIFACT into an app
- `write_rows`: Append rows of data to an existing dataset you own

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.