Eurostat MCP Server

Name: Eurostat MCP Server
Author: cyanheads

作者：cyanheads版本 0.11.3i★ –i电脑或云端

注册名称io.github.cyanheads/eurostat-mcp-server

安装

概览

作者提供的说明（英文原文）

Search and query the Eurostat catalogue — EU economy, demography, trade, and NUTS regional data.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i正在增长↓ 714/周 · ★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
可以做 8 件事（工具） eurostat_search_datasets, eurostat_browse_themes, eurostat_get_dataset_info, eurostat_get_dimension_values …
需要你自己填写： EUROSTAT_CLAMP_LIMITS, MCP_LOG_LEVEL, EUROSTAT_BASE_URL, EUROSTAT_COMEXT_BASE_URL, EUROSTAT_REQUEST_TIMEOUT_MS, EUROSTAT_METADATA_TIMEOUT_MS, EUROSTAT_TOC_CACHE_TTL_MS, EUROSTAT_BULK_TIMEOUT_MS, EUROSTAT_BULK_MAX_BYTES, CANVAS_PROVIDER_TYPE, CANVAS_TEMP_PATH, CANVAS_TTL_MS, CANVAS_DEFAULT_ROW_LIMIT, EUROSTAT_DATAFRAME_DROP_ENABLED

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://eurostat.caseyjhand.com/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "eurostat": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/eurostat-mcp-server"
      ],
      "env": {
        "EUROSTAT_CLAMP_LIMITS": "your-value",
        "MCP_LOG_LEVEL": "your-value",
        "EUROSTAT_BASE_URL": "your-value",
        "EUROSTAT_COMEXT_BASE_URL": "your-value",
        "EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
        "EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
        "EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
        "EUROSTAT_BULK_TIMEOUT_MS": "your-value",
        "EUROSTAT_BULK_MAX_BYTES": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "CANVAS_TEMP_PATH": "your-value",
        "CANVAS_TTL_MS": "your-value",
        "CANVAS_DEFAULT_ROW_LIMIT": "your-value",
        "EUROSTAT_DATAFRAME_DROP_ENABLED": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http eurostat https://eurostat.caseyjhand.com/mcp

或者在你的电脑上运行

claude mcp add eurostat --env EUROSTAT_CLAMP_LIMITS=your-value --env MCP_LOG_LEVEL=your-value --env EUROSTAT_BASE_URL=your-value --env EUROSTAT_COMEXT_BASE_URL=your-value --env EUROSTAT_REQUEST_TIMEOUT_MS=your-value --env EUROSTAT_METADATA_TIMEOUT_MS=your-value --env EUROSTAT_TOC_CACHE_TTL_MS=your-value --env EUROSTAT_BULK_TIMEOUT_MS=your-value --env EUROSTAT_BULK_MAX_BYTES=your-value --env CANVAS_PROVIDER_TYPE=your-value --env CANVAS_TEMP_PATH=your-value --env CANVAS_TTL_MS=your-value --env CANVAS_DEFAULT_ROW_LIMIT=your-value --env EUROSTAT_DATAFRAME_DROP_ENABLED=your-value -- npx -y @cyanheads/eurostat-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "eurostat": {
      "url": "https://eurostat.caseyjhand.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "eurostat": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/eurostat-mcp-server"
      ],
      "env": {
        "EUROSTAT_CLAMP_LIMITS": "your-value",
        "MCP_LOG_LEVEL": "your-value",
        "EUROSTAT_BASE_URL": "your-value",
        "EUROSTAT_COMEXT_BASE_URL": "your-value",
        "EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
        "EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
        "EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
        "EUROSTAT_BULK_TIMEOUT_MS": "your-value",
        "EUROSTAT_BULK_MAX_BYTES": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "CANVAS_TEMP_PATH": "your-value",
        "CANVAS_TTL_MS": "your-value",
        "CANVAS_DEFAULT_ROW_LIMIT": "your-value",
        "EUROSTAT_DATAFRAME_DROP_ENABLED": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "eurostat": {
      "type": "http",
      "url": "https://eurostat.caseyjhand.com/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "eurostat": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/eurostat-mcp-server"
      ],
      "env": {
        "EUROSTAT_CLAMP_LIMITS": "your-value",
        "MCP_LOG_LEVEL": "your-value",
        "EUROSTAT_BASE_URL": "your-value",
        "EUROSTAT_COMEXT_BASE_URL": "your-value",
        "EUROSTAT_REQUEST_TIMEOUT_MS": "your-value",
        "EUROSTAT_METADATA_TIMEOUT_MS": "your-value",
        "EUROSTAT_TOC_CACHE_TTL_MS": "your-value",
        "EUROSTAT_BULK_TIMEOUT_MS": "your-value",
        "EUROSTAT_BULK_MAX_BYTES": "your-value",
        "CANVAS_PROVIDER_TYPE": "your-value",
        "CANVAS_TEMP_PATH": "your-value",
        "CANVAS_TTL_MS": "your-value",
        "CANVAS_DEFAULT_ROW_LIMIT": "your-value",
        "EUROSTAT_DATAFRAME_DROP_ENABLED": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://eurostat.caseyjhand.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

EUROSTAT_CLAMP_LIMITS env
Clamp positive integer preview/search/dimension limits to 500/100/1000 with a notice. False restores schemas rejecting over-cap inputs.
MCP_LOG_LEVEL env
Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').
EUROSTAT_BASE_URL env
Eurostat API base URL. Override when using a mirror or proxy.
EUROSTAT_COMEXT_BASE_URL env
Base URL of the Comext dissemination host, which serves every DS-* dataset code (detailed trade and PRODCOM). Override when using a mirror or proxy.
EUROSTAT_REQUEST_TIMEOUT_MS env
Total allowance for one Eurostat request across retries, backoff and body consumption, in milliseconds.
EUROSTAT_METADATA_TIMEOUT_MS env
Total allowance for one dataset's SDMX dataflow structure across retries, backoff and body consumption, in milliseconds. Defaults to 120000; separate from EUROSTAT_REQUEST_TIMEOUT_MS for large struct…
EUROSTAT_TOC_CACHE_TTL_MS env
How long a fetched catalogue TOC stays usable before the next catalogue call refreshes it, in milliseconds. Defaults to 12 hours.
EUROSTAT_BULK_TIMEOUT_MS env
Total allowance for one eurostat_download_dataset transfer across request retries, backoff and streaming body consumption, and for each download that builds the dimension value index, in milliseconds…
EUROSTAT_BULK_MAX_BYTES env
Byte budget for one eurostat_download_dataset transfer, counted on the decoded TSV rather than on the wire. Eurostat sends the body chunked with no Content-Length, so the budget is enforced while str…
CANVAS_PROVIDER_TYPE env
Dataframe canvas backend. The default, 'duckdb', lists eurostat_dataframe_describe and eurostat_dataframe_query, stages query matches with stage=true or above 5,000 observations, and retains bulk dow…
CANVAS_TEMP_PATH env
Parent directory for DuckDB canvas spill files: a private 'mcp-canvas-XXXXXX' directory is created inside it, so it must be writable by the server process. Defaults to the OS temp directory.
CANVAS_TTL_MS env
Sliding lifetime of a staged dataframe canvas in milliseconds; every call against it extends the window. Defaults to 24 hours.
CANVAS_DEFAULT_ROW_LIMIT env
Maximum complete rows a single eurostat_dataframe_query returns before reporting truncated.
EUROSTAT_DATAFRAME_DROP_ENABLED env
Set to 'true' to list eurostat_dataframe_drop, which removes one staged table from a dataframe canvas and leaves its other tables in place. Off by default because a drop cannot be undone; staged tabl…

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月9日报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

eurostat_search_datasets
Search the Eurostat catalogue by keyword. Returns matching datasets with codes, descriptions, period coverage, and theme breadcrumbs. Matches are ordered by where the words were found: first datasets whose label contains the query as a phrase beginning at the start of a word, the
eurostat_browse_themes
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
eurostat_get_dataset_info
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_
eurostat_get_dimension_values
List the valid values for a dimension in a Eurostat dataset, preserving value codes and labels exactly. Use this when eurostat_get_dataset_info returns more values than its sample, or to confirm exact filter codes before querying. Dimension identifiers match exactly first, then c
eurostat_query_dataset
Fetch statistical data from a Eurostat dataset with dimension filters. Returns a deterministic inline prefix of decoded observations with dimension codes and labels, numeric values, an OBS_FLAG status (e.g., "p" = provisional, "e" = estimated) and a separate CONF_STATUS confident
eurostat_download_dataset
Download a Eurostat dataset in bulk through the SDMX 2.1 TSV endpoint and stage it 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 bo
eurostat_dataframe_describe
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_data
eurostat_dataframe_query
Run a read-only SQL SELECT against tables staged on a Eurostat dataframe canvas, reaching observations beyond an inline preview and aggregating or joining tables without re-fetching Eurostat. Call eurostat_dataframe_describe first for table and column names. Only a single SELECT

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 cyanheads 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 219 毫秒内响应（HTTP 200）
– 不适用
使用 OAuth 登录
无需登录
✓ 通过
工具描述中没有隐藏指令
已读取 8 个工具描述，未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5760 个服务器的 0%
发布到注册中心的时间比此分类中其他 5760 个服务器的 98% 更新
基础检查结果等于或优于此分类中其他 5760 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Eurostat MCP Server 安全吗？

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.11.3）于昨天进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

Up-to-date docs for AI agents

作者：upstash广泛使用↓ 97.3万/周★ 6.4万3天前更新

电脑或云端

安装

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

作者：DeusData广泛使用↓ 1.8万/周★ 4.8万23天前更新

在你的电脑上运行

安装

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

作者：exa-labs广泛使用★ 52132个月前更新

在云端运行✓ exa.ai

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

@cyanheads/eurostat-mcp-server Search and query the Eurostat catalogue — EU economy, demography, trade, health, and NUTS regional data via MCP. STDIO or Streamable HTTP. 6 Tools (up to 9 with the dataframe canvas) • 2 Resources • 1 Skill

Public Hosted Server: https://eurostat.caseyjhand.com/mcp

Overview

EU statistics from Eurostat: economy, demography, trade, health, and NUTS regional data, including detailed Comext trade and PRODCOM industrial production. Search or browse the catalogue, inspect a dataset's dimensions, then query a slice or bulk-download the whole thing.

Tools

The three eurostat_dataframe_* tools need the dataframe canvas, which is on by default and off with CANVAS_PROVIDER_TYPE=none; eurostat_dataframe_drop also needs EUROSTAT_DATAFRAME_DROP_ENABLED=true.

Tool	Description
`eurostat_search_datasets`	Search the Eurostat catalogue by keyword — returns codes, descriptions, period coverage, and theme breadcrumbs
`eurostat_browse_themes`	Navigate the Eurostat theme hierarchy — list root themes or drill into subthemes and datasets
`eurostat_get_dataset_info`	Fetch dataset metadata: dimensions with sample values, time range, observation count, and last-update date
`eurostat_get_dimension_values`	List all valid codes for one dataset dimension, paged, with a code/label word filter and NUTS hierarchy filtering for `geo`
`eurostat_query_dataset`	Fetch a bounded preview of decoded observations with dimension filters, NUTS geo-level, and time-range controls
`eurostat_download_dataset`	Download a whole dataset via the SDMX bulk endpoint and stage every row on the dataframe canvas
`eurostat_dataframe_describe`	List the tables staged on a dataframe canvas, with row counts and column types
`eurostat_dataframe_query`	Run a read-only SQL SELECT across staged tables
`eurostat_dataframe_drop`	Remove one staged table from a dataframe canvas, leaving its other tables in place (opt-in)

Resources

Resource	Description
`eurostat://dataset/{dataset_code}`	Dataset metadata (dimensions, time range, observation count, last-updated) by URI
`skill://eurostat-guide/SKILL.md`	Statistical comparison gates, identifier provenance, and SQL analysis workflows

The same metadata is available through eurostat_get_dataset_info for tool-only clients.

Agent skill

eurostat-guide covers country and regional comparisons, Comext aggregation, missing-data interpretation, and SQL joins over staged observations. It ships with plugin, npm, Docker, and MCPB installs and is served over MCP at skill://eurostat-guide/SKILL.md; supporting SQL examples are included under the skill's references/ directory.

Capability reference

`eurostat_search_datasets` tool

query words are ANDed case-insensitively across each dataset's label, theme breadcrumb, and code, ignoring spacing beside punctuation (Rev.2 finds Rev. 2); limit is a positive integer (default 20), clamped to 100 with a notice. Page by passing nextCursor back as cursor; cursor calls ignore limit
Results carry code, label, type (dataset / table), period coverage, obsCount, lastUpdated, and themePath, with totalMatches across every page; fails as no_match (naming the words whose removal finds matches or, when none does, the words that match no dataset), invalid_cursor, or a retryable upstream_fault when no catalogue is loaded and Eurostat's table of contents is unreachable
If the Comext dataflow list cannot be loaded, results carry comextListMissing and a notice; a catalogue that could not be refreshed carries catalogueLoadedAt

`eurostat_browse_themes` tool

Omit theme_code for the top-level theme folders; pass a folder code for its immediate children. Codes resolve exact-first, then case-insensitively. The Comext collections sit under ext_go_detail (detailed trade, in ext_go) and prom (PRODCOM, in icts)
Items carry code, label, type (folder / dataset / table), and hasChildren, with a parentPath breadcrumb and otherPlacements for a folder filed in several branches; fails as not_found for an unknown code, not_a_folder for a dataset or table code, or a retryable upstream_fault when no catalogue is loaded and Eurostat's table of contents is unreachable
If the Comext dataflow list cannot be loaded, ext_go and icts carry comextListMissing and a notice; a catalogue that could not be refreshed carries catalogueLoadedAt

`eurostat_get_dataset_info` tool

One dataset_code; returns every dimension with valuesCount and up to 10 sampleValues, plus timeRange, obsCount, lastUpdated, and the ESMS metadataUrl
Fails as not_found for an unknown dataset, or upstream_fault when Eurostat returns a structure the server cannot read (retryable when the endpoint is down)

`eurostat_get_dimension_values` tool

dataset_code plus dimension, resolved exact-first then case-insensitively (TIME_PERIOD aliases time); returned value codes and labels stay unchanged. For geo, geo_level picks a NUTS level (aggregate, country by default, nuts1, nuts2, nuts3). filter keeps values whose code and label contain every word given, ignoring case and accents (palma frankfurt finds DE_EDDF_ES_LEPA), counted in matchCount
limit defaults to 25 and clamps to 1,000 with a notice. Pages contain that many values, fewer at the end, with totalCount for the full list; a page with more after it carries truncated, nextCursor (pass back as cursor), and a notice. Continuations retain the effective count and ignore a new limit; older cursors above 1,000 normalize to 1,000 with disclosure. Fails as not_found, no_results, conflicting_params, invalid_cursor, upstream_fault (retryable when the endpoint is down), or canvas_not_found
canvas_id stages every value on that canvas as a code / label table (canvasId / tableName / stagedRowCount) that labels a download's code columns through a join; it never starts a canvas of its own

`eurostat_query_dataset` tool

dataset_code plus filters ({dimension_code: [values]}), geo_level, and either since_period / until_period (2020, 2020-Q1, 2020-01, down to YYYY-Wnn and YYYY-Dnnn) or last_n_periods; preview_limit is a positive integer (default 25), clamped to 500 with a notice; lang is EN, FR, or DE
stage: true stages the whole match on an available canvas, regardless of size; reuse canvas_id or omit it to create one. Without it, automatic staging starts above 5,000 observations. truncated still describes that threshold; tableName identifies a staged result. Canvas-disabled deployments disclose an explicit staging request as unavailable
last_n_periods counts dataset time positions, which can include periods with no populated cells. A notice names gaps across the full match (up to the newest 24, with an omitted count); increase N or replace it with until_period to reach earlier observations
Eurostat keeps only periods wholly inside since_period–until_period, per frequency. A notice names a period a bound falls inside and the bound that includes it. A one-day range goes out as time= , because Eurostat ignores one-day bounds
Each observation carries code/label pairs per dimension, a nullable value, status (OBS_FLAG), and confStatus (CONF_STATUS); obsCount, missingObsCount, absentCellCount (periods a matched series lacks, which are not observations and are never staged), and timeRange cover the whole match, truncated is true above 5,000 observations, and unmatchedValues names filter values that matched nothing
Fails as not_found, no_results (naming the unmatched values, the periods with no value, why a range selected no period, or geo_level as the likely cause when Eurostat's reply says nothing more), invalid_dimension, invalid_period, conflicting_params, a non-retryable async_response for a query too large to serve, canvas_not_found, or a retryable upstream_fault when the Statistics API is down

`eurostat_download_dataset` tool

dataset_code plus the same filters map and since_period / until_period (no last_n_periods: the TSV keeps a column per period unless a range drops it); preview_limit is a positive integer (default 25), clamped to 500 with a notice
The wholly-inside rule and its notice apply here too. A one-day range requests that day and the next, and the later day's column is dropped before anything is counted or staged
Stages one row per non-blank TSV cell. A row with null obs_value and no flag, status or text (an unflagged :) is not an observation: it is a period the series lacks, or a period of a frequency the series has no observation of (the padding of a mixed-frequency slice)
Returns rowCount (echoed as totalCount), missingCount, absentCellCount (the unflagged rows at periods of a frequency the series carries), periodRange (bounded by rows carrying a value, flag, status, or text), and bytesRead for the whole download; fails as not_found, invalid_dimension, invalid_period, filter_arity, a non-retryable async_queued or extraction_too_big, no_results, upstream_fault (retryable when the SDMX endpoint is down), or canvas_not_found
The EUROSTAT_BULK_MAX_BYTES budget (default 50 MiB decoded) retains complete rows within the permitted prefix and returns budgetExceeded: true. A budget too small for a complete header and usable row fails as byte_budget_exceeded, with the configured limit and narrowing guidance. bytesRead counts accepted decoded bytes, never more than the

只显示了开头部分；其余内容请在仓库中阅读

Eurostat MCP Server

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

Overview

Tools

Resources

Agent skill

Capability reference

eurostat_search_datasets tool

eurostat_browse_themes tool

eurostat_get_dataset_info tool

eurostat_get_dimension_values tool

eurostat_query_dataset tool

eurostat_download_dataset tool

`eurostat_search_datasets` tool

`eurostat_browse_themes` tool

`eurostat_get_dataset_info` tool

`eurostat_get_dimension_values` tool

`eurostat_query_dataset` tool

`eurostat_download_dataset` tool