statistik-austria-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| fetch_dataset_jsonA | Return the dimension and measure metadata for an OGD dataset. dataset_id is the Statistik Austria dataset identifier (e.g. "OGD_vpi86_VPI_1986_1"). |
| fetch_dataset_csvA | Fetch an OGD dataset's data with codes resolved to German labels, formatted "label ".
dataset_id is the Statistik Austria dataset identifier (e.g. "OGD_vpi86_VPI_1986_1").
"aggregate" names the dimensions in which a row is a total of other rows; never sum it with them.
Empty "aggregate" does not guarantee rows can be summed (overlapping groupings exist, e.g. VPI).
Dimensions in "unlabeled_dimensions" have raw codes and no aggregate information.
filters: {dimension code: [value codes]} keeps matching rows, e.g. {"C-A10-0": ["A10-2024"]}; values are the parts.
Pages: at most |
| search_datasetA | Search the OGD catalog by keyword. Every query word of 3+ characters must appear in a result; word parts match too. An empty query returns recently updated datasets. Titles are in German, so search with German keywords (e.g. "Bevölkerung", not "population"). Pass a result's "id" to fetch_dataset_json or fetch_dataset_csv. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_catalog | Overview of the Statistik Austria OGD catalog: its categories with their anchors on the catalog page, and the URL pattern for dataset metadata pages. Use search_dataset to find specific datasets. |
TDQS
Scored across 3 tools
The three tools map cleanly to distinct stages: catalog search, dataset metadata, and dataset data retrieval. The JSON vs CSV tools are differentiated by description as metadata versus data, so an agent can choose without ambiguity.
All names use lowercase snake_case and identify the dataset resource clearly. fetch_dataset_json and fetch_dataset_csv share a predictable pattern, while search_dataset follows the same verb_noun style.
Three tools are well scoped for a focused statistics-catalog server: search, inspect metadata, and fetch data. Each has a clear role, with no redundant tools.
The core workflow is covered: find a dataset, inspect its dimensions and measures, then fetch filtered paginated data. Minor gaps remain around catalog browsing features or data validation, but the main lifecycle is usable.