MCP server that wraps the Dagster GraphQL API — manage runs, assets, schedules, sensors, and backfills from any MCP client
Nothing to run from here
Eurostat 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.
8
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Search and query 8,900+ Eurostat datasets covering EU economy, demography, trade and health.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http eurostat-caseyjhand-com-eurostat-mcp https://eurostat.caseyjhand.com/mcp
# 2 — ask your agent for something these tools do
# eurostat_search_datasets, eurostat_browse_themes, eurostat_get_dataset_info and 5 more
Eurostat costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
ECAll 1 server
eurostat.caseyjhand.com1 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. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http eurostat-caseyjhand-com-eurostat-mcp https://eurostat.caseyjhand.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
8 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.
Search the Eurostat catalogue by keyword. Returns matching datasets with codes, descriptions, period coverage, and theme breadcrumbs. Use this to discover dataset codes before calling eurostat_get_dataset_info, then eurostat_query_dataset for a slice of a dataset or eurostat_download_dataset for the whole of one. Results are limited to datasets and predefined tables — folders are excluded.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search terms — at least one non-whitespace token is required. Split on whitespace into tokens; every token must match (AND), case-insensitively, somewhere across the dataset label, theme breadcrumb, o |
| limit | integer | no | Page size — maximum datasets returned per page (1–100). Default is 20. To retrieve matches beyond one page, pass the returned nextCursor back as cursor; the page size is fixed by this first call. |
| cursor | string | no | Opaque pagination cursor from a previous call's nextCursor. Omit for the first page; pass it back — with the same query — to fetch the next page of matches over a stable order. A cursor is bound to th |
Navigate the Eurostat theme tree. Without theme_code returns the top-level theme folders (Economy, Population, Transport, etc.) — the practical starting points. With a theme_code returns its immediate children: subtheme folders and datasets in that branch. Use this for structured discovery when you know the domain but not the dataset code, or to drill down from a broad topic to a specific dataset.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| theme_code | string | no | Folder code to expand (e.g., "economy", "reg"). Omit to list the top-level theme folders. |
Fetch metadata for a Eurostat dataset: dimensions with valid values, time range, observation count, and last-update date. Call this before eurostat_query_dataset or eurostat_download_dataset to discover what dimension codes are valid (unit, na_item, geo, etc.); eurostat_download_dataset builds its positional filter key from this dimension list, so a filter naming a dimension absent here is rejecte
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_code | string | yes | Dataset code (e.g., "nama_10_gdp"). Use eurostat_search_datasets or eurostat_browse_themes to find codes. |
List all valid values for a specific dimension in a Eurostat dataset (e.g., all unit codes for nama_10_gdp, all geo codes for a regional dataset). Use this when eurostat_get_dataset_info returns more values than the 10-item sample, or to confirm exact codes before querying. For the "geo" dimension, use geo_level to filter by NUTS hierarchy (country, nuts1, nuts2, nuts3). Invalid dimension_value co
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_code | string | yes | Dataset code (e.g., "nama_10_gdp"). |
| dimension | string | yes | Dimension code to retrieve values for (e.g., "unit", "na_item", "geo"). Use eurostat_get_dataset_info to see available dimensions. |
| geo_level | string | no | NUTS hierarchy level filter — applies only when dimension is "geo"; passing it with any other dimension is rejected. Options: "aggregate" (EU/EA codes), "country" (2-letter codes, default), "nuts1" (3 |
Fetch statistical data from a Eurostat dataset with dimension filters. Returns decoded observations with dimension codes and labels, numeric values, an OBS_FLAG status (e.g., "p" = provisional, "e" = estimated) and a separate CONF_STATUS confidentiality marker (e.g., "C" = confidential, which is usually why a value is null), capped at 5,000 inline rows. Call eurostat_get_dataset_info first to disc
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_code | string | yes | Dataset code (e.g., "nama_10_gdp"). Required. |
| filters | object | no | Dimension filters as a map of dimension code → array of valid values. Example: {"unit": ["CP_MEUR"], "na_item": ["B1GQ"], "geo": ["DE", "FR"]}. An empty array is treated as no filter for that dimensio |
| geo_level | string | no | Filter by NUTS hierarchy level. Mutually exclusive with a "geo" key in filters. Options: "aggregate" (EU/EA totals), "country" (41 member/candidate states), "nuts1" (127 major regions), "nuts2" (309 b |
| since_period | string | no | Start of time range (e.g., "2020", "2023-Q1", "2024-01"). Mutually exclusive with last_n_periods. |
| until_period | string | no | End of time range (e.g., "2024"). Omit for data through the latest available period. Mutually exclusive with last_n_periods. |
| last_n_periods | integer | no | Return only the N most recent periods. Mutually exclusive with since_period and until_period. |
| preview_limit | integer | no | How many matched observations to return inline, from the deterministic start of the JSON-stat cell order. Default 50; maximum 500. This changes only the inline prefix: it does not reduce obsCount, mis |
| lang | string | no | Language for labels in the response. Default is "EN". Options: "EN", "FR", "DE". |
| canvas_id | string | no | Reuse an existing dataframe canvas, so a result staged by this call lands beside earlier ones and can be joined against them. Pass a canvasId from a previous response; omit to start a fresh canvas. Ig |
Download a Eurostat dataset in bulk through the SDMX 2.1 TSV endpoint and stage every observation as a SQL table on the dataframe canvas — the route to a whole dataset, where eurostat_query_dataset is the route to a slice of one. The TSV wire format is roughly half the bytes of the JSON-stat body eurostat_query_dataset reads, so it reaches datasets that would otherwise time out, and it is expanded
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_code | string | yes | Dataset code (e.g., "nama_10_gdp"). Required. |
| filters | object | no | Dimension filters as a map of dimension code → array of accepted values, applied by Eurostat before the body is sent. Example: {"unit": ["CP_MEUR"], "na_item": ["B1G"], "geo": ["DE", "FR"]}. Omit a di |
| since_period | string | no | Start of the period range (e.g., "2020", "2023-Q1", "2024-01"), sent as startPeriod. The most effective way to shrink a bulk response: it removes period columns from the TSV rather than blanking their |
| until_period | string | no | End of the period range (e.g., "2024"), sent as endPeriod. Omit for data through the latest available period. |
| preview_limit | integer | no | How many observations to echo inline, from the start of the download. Caps at 500. The full download is on the canvas table when one was staged; this is orientation, not the result set. |
| canvas_id | string | no | Reuse an existing dataframe canvas so this download lands beside earlier results and can be joined against them. Pass a canvasId from a previous response; omit to start a fresh canvas. Ignored on depl |
List the tables staged on a Eurostat dataframe canvas, with their row counts and column names and types. Call this before eurostat_dataframe_query to learn the table and column names to write SQL against. The canvas_id comes from a eurostat_query_dataset or eurostat_download_dataset response that reported a staged table. Every observation column is flat, but the two stagers write different dimensi
| Parameter | Type | Required | Notes |
|---|---|---|---|
| canvas_id | string | yes | Canvas identifier returned as canvasId by eurostat_query_dataset or eurostat_download_dataset. Identifies the workspace holding the staged tables. |
Run a read-only SQL SELECT against tables staged on a Eurostat dataframe canvas — the way to reach observations past the 5,000-row inline cap of eurostat_query_dataset and past the inline preview of a eurostat_download_dataset bulk download, and to aggregate, group, or join across staged tables without re-fetching from Eurostat. Call eurostat_dataframe_describe first for the table and column names
| Parameter | Type | Required | Notes |
|---|---|---|---|
| canvas_id | string | yes | Canvas identifier returned as canvasId by eurostat_query_dataset or eurostat_download_dataset. Identifies the workspace holding the staged tables. |
| sql | string | yes | A single read-only SELECT statement. Reference tables by the names eurostat_dataframe_describe reports. Example: SELECT geo, geo_label, AVG(obs_value) AS mean FROM df_a1b2c3d4 WHERE time >= '2020' GRO |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- 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 Eurostat 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: —
—Grade not published
No rule-by-rule report on file for this release
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.6.1.
0.6.1
undated
latestNo release note was published with this version.
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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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Any signed-in account that does not publish Eurostat can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
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