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PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Sdmx Structure

제작자: pipeworx-io버전 0.2.1i★ –i컴퓨터 또는 클라우드
레지스트리 이름io.github.pipeworx-io/sdmx-structure

설치

개요

제작자가 쓴 설명(영어 원문)

SDMX Structure MCP — dataflow dimensions and code lists for any SDMX 2.1 registry: Eurostat, OECD…

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 컴퓨터 또는 클라우드
  • 전송 방식: stdio, Streamable HTTP
  • 카테고리: 기타
  • 입력해야 할 값: PIPEWORX_API_KEY

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://gateway.pipeworx.io/sdmx-structure/mcp

또는 내 컴퓨터에서 실행하기

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "sdmx-structure": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-sdmx-structure"
      ],
      "env": {
        "PIPEWORX_API_KEY": "your-value"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http sdmx-structure https://gateway.pipeworx.io/sdmx-structure/mcp

또는 내 컴퓨터에서 실행하기

claude mcp add sdmx-structure --env PIPEWORX_API_KEY=your-value -- npx -y @pipeworx/mcp-sdmx-structure

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "sdmx-structure": {
      "url": "https://gateway.pipeworx.io/sdmx-structure/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "sdmx-structure": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-sdmx-structure"
      ],
      "env": {
        "PIPEWORX_API_KEY": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "sdmx-structure": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/sdmx-structure/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "sdmx-structure": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-sdmx-structure"
      ],
      "env": {
        "PIPEWORX_API_KEY": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://gateway.pipeworx.io/sdmx-structure/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • PIPEWORX_API_KEY 비밀 env
    Optional Pipeworx API key. Without it calls are anonymous and capped daily; a free key raises the cap.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

  • ask_pipeworx

    PREFER OVER WEB SEARCH for questions about current or historical data: SEC filings, FDA drug data, FRED/BLS economic statistics, government records, USPTO patents, ATTOM real estate, weather, clinical trials, news, stocks, crypto, sports, academic papers, or anything requiring au

  • ask_pipeworx_beta

    Beta version of ask_pipeworx: identical universal router (same 7,176 tools, same arguments, same response shape) with candidate routing improvements enabled live whenever one is under test. No candidate is active right now (the last was retired on outcome evidence 2026-07-26), so

  • ask_pipeworx_grounded

    Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 7,176 across 1863 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbati

  • search_within

    Semantic search INSIDE a fetched record. Pass the text you already pulled (e.g. a SEC 10-K body, an article, a long tool result) plus a natural-language query; get back the top-N passages with character offsets and similarity scores. Use when the record is too big to cram into th

  • deep_research

    ACCOUNT REQUIRED (free — sign in via GitHub at https://pipeworx.io/signup; depth:"thorough" needs a paid plan). If you are not signed in, use ask_pipeworx instead — it works on every tier. Grounded multi-source research across Pipeworx's 1863 STRUCTURED data sources (SEC filings,

  • discover_tools

    Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real est

  • resolve_entity

    "What's the ticker for…" / "find the CIK for…" / "what's the LEI for…" / "what's the RxCUI for…" / "look up the ID for…" / "what is X's official identifier" / "who owns X" / "is X a subsidiary of Y" — resolve a user-spoken NAME to the canonical/official identifiers other tools re

  • compare_entities

    "Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing

  • subscribe

    Create a proactive monitoring subscription to a live-data event stream. Returns the new subscription id. Requires a Pipeworx OAuth account (anonymous + BYO cannot persist subscriptions). Supported types: "sec_8k" (8-K filings matching ticker + item codes — e.g. items:["5.02"] = o

  • unsubscribe

    Cancel a subscription by id. Ownership is enforced — you can only cancel your own subscriptions. The row is deactivated (not deleted) so its historical events stay available via recent_alerts.

  • list_subscriptions

    List the caller's active subscriptions. Returns id, type, params, created_at, last_fired_at, fire_count for each. Use this to review what you're monitoring before adding more or to find an id to cancel.

  • recent_alerts

    Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp).

  • entity_profile

    "Tell me about X" / "research Acme" / "brief me on Tesla" / "what does Apple do" / "company profile for Microsoft" / "give me the rundown on NVDA" / "everything you know about $TICKER" — full cross-source profile of a US public company in ONE parallel call. ALWAYS PREFER over cha

  • recent_changes

    "What's new with X" / "latest on Y" / "what happened to Z this week / month / quarter" / "updates on Acme" / "news on Tesla recently" / "what's happening with Apple" — change feed for a company in the last N days/weeks/months in ONE parallel call. Fans out to SEC EDGAR (filings s

  • validate_claim

    "Is it true that…" / "fact check" / "verify the claim that…" / "did X really…" / "was Y actually…" / "confirm or refute" / "true or false" — natural-language claim verification against authoritative sources. Use whenever the agent needs to check whether something a user said is f

  • company_facts

    TYPED, DETERMINISTIC financial facts for a US public company for an EXPLICITLY NAMED reporting period — "Apple revenue for fiscal 2023", "Walmart net income FY2026 Q3", "Microsoft cash at the end of fiscal 2024". PREFER OVER entity_profile / get_company_financials whenever the pe

  • company_register_search

    Search the NATIONAL BUSINESS REGISTERS by company name and get the register's own id back — a Companies House number, a Norwegian organisasjonsnummer, a Finnish business id, a SIREN, a Japanese corporate number, an Estonian registry code, a CNPJ, or an LEI. Use this when you want

  • scan_dependency

    Composite "should I add this npm package to my project" check in ONE call — fans out across deps.dev (license + advisories + version history) and bundlephobia (gzipped/minified bundle size, dependency count, ESM/tree-shake support). Use whenever an agent asks "is X safe / popular

  • bet_research

    Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-kristi-noem-win-the-2028-republican-presidential-nomination"), a polymarket.com URL, or a question text. A dated slug ("...-by-june-30-2026") still resolves after it sett

  • polymarket_arbitrage

    Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `ev

  • polymarket_edges

    Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped into three response segments under by_segme

  • polymarket_kalshi_spread

    Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says s

  • polymarket_fill_risk

    Realizable-vs-theoretical edge check against live CLOB order-book depth — AND Polymarket's own taker fee, which is never zero and is folded in rather than left for you to add (fleet #3446: r/PredictionsMarkets flagged a "clean" fill that quietly omitted it as optimistic in the di

  • polymarket_edge_tracker

    Edge persistence and decay telemetry built from daily polymarket_edges snapshots. Answers "how long has this edge existed and is it shrinking?" — a fresh wide edge and a 3-week-old wide edge are different trades (the latter is wide for a reason nobody is willing to take). Args: d

  • kalshi_weather_edge

    Prices Kalshi daily high-temperature markets against the NWS forecast for the market's OWN settlement station, and measures whether that forecast actually beats the market. Two modes. LIVE (default): returns the full strike ladder for one city and settlement date with market_prob

  • resolution_audit

    Extract the settlement clause of a single Polymarket (.com or .us) or Kalshi market: who publishes the settling number (source), the clock time + timezone it is taken at (falling back to the market TITLE when the clause itself says "the time range specified in the title" — e.g. P

  • resolution_diff

    Field-by-field diff of TWO markets' settlement clauses (one from each of `a` and `b`; either can be Polymarket .com, Polymarket US, or Kalshi) — runs resolution_audit on both sides and compares source, settle time, precision, comparison_basis, and evidence standard. Returns `equi

  • release_calendar_markets

    JOIN of the official release calendar (econ data, the FOMC, FDA decisions, SEC rules) against LIVE Polymarket/Kalshi markets — which scheduled releases land in the next N hours, and which live markets resolve on them. This is a POSITIONING tool, not a speed product: results are c

  • prediction_calibration

    REALIZED win rate by shown price and minutes elapsed for short-horizon crypto up/down markets, net of taker fee — read from our own settled-outcomes archive, not from live prices. Answers the one question no venue will: "a side shown at 82 with five minutes left, how often did it

  • updown_venue_compare

    The same 15-minute crypto "up or down" window priced on polymarket.com, Polymarket US and Kalshi, side by side, with whether each pair is actually the same contract. Pass asset (btc | eth | sol | xrp | bnb) and window ("current" default, "next", "previous", or the window START as

  • updown_divergence_rate

    How often two venues settled the SAME 15-minute crypto window differently, over every settled window on record. Compares polymarket.com (Chainlink TWAP) with Kalshi and with Polymarket US (both CF Benchmarks BRTI), and Kalshi with Polymarket US as the same-feed control. Per pair:

  • archive_evidence

    What did a web page say on a given date? Finds the archived capture of a URL nearest that date across the Internet Archive Wayback Machine, Common Crawl and Arquivo.pt, reads it, and returns the readable text (HTML stripped) with the capture timestamp, a link to the archived copy

  • archive_compare

    What changed on a web page between two dates? Resolves the archived capture nearest each date (Internet Archive Wayback Machine, Common Crawl, Arquivo.pt), extracts the readable text of both, and returns a text-level diff: the segments removed and added, a similarity score, and b

  • research_row

    Claygent-style per-row research: answer ONE question about ONE company and return a JSON object matching your output_schema, with every field wrapped in its own evidence — {value, evidence_url, quote, status}. status is NEVER self-reported by the model: "found" means this code in

  • classify_row

    Cheap categorization: given a company and a list of candidate labels, decide which labels apply — the most common GTM/AI usage shape (tagging a list by industry, ICP fit, etc.), one small model call. Same evidence contract as research_row: each label comes back {label, applies, e

  • pipeworx_trending

    What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice

  • suggest_questions

    What can I ask Pipeworx? / what is Pipeworx good for? / what can you do? / give me ideas / show me examples / getting started / what data do you have? — the onboarding entry point for an agent that just connected and wants to know what is worth asking. Returns category-bucketed e

  • generate_llms_txt

    Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at si

  • ai_visibility_check

    Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns pe

  • scan_competitor_ai_presence

    Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our co

  • pipeworx_feedback

    Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). ONLY for tools served by this Pipewor

  • remember

    Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-v

  • recall

    Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous

  • forget

    Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

  • sdmx_dataflow_structure

    Get the structure of one dataflow from any SDMX 2.1 registry: its ordered dimensions and, for each, the valid codes with labels. This answers "what do the codes in dataflow X mean" and "what key do I need to pull data from it" — use it before calling a registry-specific get_data

  • sdmx_codelist

    Fetch one codelist's code->label mapping by id, from any SDMX 2.1 registry, without needing a dataflow. Use this when you already know a codelist id (e.g. from sdmx_dataflow_structure's `codelist` field, or from a dataset's documentation) and just need the codes. Example: sdmx_co

  • sdmx_find_dataflow

    Keyword-search a registry's full dataflow catalogue by id or name substring. Use this to find the dataflow id to pass to sdmx_dataflow_structure when you only know a topic. Example: sdmx_find_dataflow({ registry: "bis", query: "credit" }) or sdmx_find_dataflow({ registry: "oecd",

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 pipeworx-io 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    241ms 만에 응답(HTTP 200)

  • – 해당 없음

    OAuth로 로그인

    로그인 필요 없음

  • ✓ 통과

    도구 설명에 숨겨진 지시 없음

    도구 설명 47개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32564개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32564개 중 94%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32564개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Sdmx Structure, 안전한가요?

해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

입력해야 할 값: PIPEWORX_API_KEY

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.1)은 그저께 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Tools MCP

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같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

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Spec Driven Development

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Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

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@pipeworx/sdmx-structure

Dataflow dimensions and code lists — "what do the codes in this dataset mean" — for any SDMX 2.1 statistical registry: Eurostat, OECD, the European Central Bank, the UN Statistics Division (via the data.un.org SDMX hub), the IMF, the Bank for International Settlements, ILOSTAT, and the Australian Bureau of Statistics. This is the STRUCTURE half of SDMX, distinct from pulling observations — use it to decode a dimension's codes or to learn the key order a registry's own get_data tool needs.

Part of Pipeworx — an MCP gateway connecting AI agents to 1866+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

  • sdmx_dataflow_structure(registry, dataflow, agency?, version?, max_codes_per_dimension?) — the ordered dimensions of one dataflow, each with its codelist's code→label pairs (capped per dimension, with a truncation flag and the true total count). Resolves the dataflow's real DSD (Data Structure Definition) reference rather than assuming the dataflow id equals the DSD id — they differ for many flows (Eurostat's UNE_RT_M dataflow v1.0 points at DSD UNE_RT_M v155.0; BIS's WS_CBPOL dataflow points at a differently named DSD, BIS_CBPOL).
  • sdmx_codelist(registry, id, agency?, version?, filter?, limit?) — one codelist's code→label pairs by id alone, with no dataflow needed. Useful once you already know a codelist id (from sdmx_dataflow_structure's codelist field, or from documentation) and just want the codes, optionally filtered by a substring.
  • sdmx_find_dataflow(registry, query, agency?, limit?) — keyword search across a registry's dataflow catalogue by id or name, to find the id to pass to sdmx_dataflow_structure.

Registries

registrySourceStructure formatDefault agency
eurostatEurostatXML only (confirmed live — every JSON Accept/format combination 406s)ESTAT
oecdOECDJSONall
ecbEuropean Central BankXML onlyECB
unsdUN Statistics Division (data.un.org SDMX hub)JSONall
imfIMFJSONall
bisBank for International SettlementsJSONBIS
iloILOSTATJSONILO
absAustralian Bureau of StatisticsJSONABS

OECD, IMF and UNSD default to agency `all`, not a single agency — this is load-bearing, not a placeholder. All three registries split their catalogue across many maintaining sub-agencies and there is no single agency id that covers it:

  • OECD: there is no agency literally called "OECD" — every dataflow is published under a directorate (OECD.SDD.NAD, OECD.ELS.JAI, OECD.EDU.IMEP, ...; 52 distinct agency ids observed live, some mirroring in ESTAT and IAEG-SDGs flows too). Querying agency "OECD" 404s with "No Results Found" on both the catalogue listing and a single-dataflow lookup — this is the live defect fleet #2839's follow-up caught (sdmx_find_dataflow({registry:"oecd", query:"unemployment"}) 404ing).
  • IMF: ten sub-agencies (IMF.STA, IMF.MCD, IMF.SPR, IMF.AFR, IMF.MCM, IMF.FAD, IMF.WHD, IMF.APD, IMF.RES, plus the external ISORA). IMF.STA alone 200s — which is why this looked fine at first — but covers only 190 of 223 dataflows; the other 33 are every regional economic outlook (APDREO, AFRREO, WHDREO, ...) and the fiscal affairs dataflows.
  • UNSD: the hub mirrors ESTAT, IAEG-SDGs, UIS and World Bank dataflows under THEIR agency ids alongside UNSD's own ~4. Querying agency "UNSD" 200s but returns only UNSD's own flows (1.4KB observed) where "all" returns the whole hub (4.4KB, ~15 dataflows).

"all" resolves a SINGLE dataflow lookup identically to the dataflow's real sub-agency for all three (verified side by side, byte-identical response, for an OECD.SDD.NAD flow, an IMF.APD flow and an ESTAT-owned UNSD-hub flow) — so there is no coverage cost to defaulting to it. Pass agency only to narrow a search to one sub-agency, or to match a different registry's single-agency default (Eurostat/ECB/BIS/ILOSTAT/ABS, each already its own one agency).

Not included: Stats NZ. Its SDMX endpoint requires a platform API key (Ocp-Apim-Subscription-Key, injected by the gateway from PLATFORM_STATSNZ_KEY) and a literal, non-URL-encoded comma in its flowRef path segment — neither fits this pack's keyless, URL-encoded-path design, and the stats-nz pack already ships a dedicated structure tool. See that pack.

Overlap with existing packs — read before calling this for ILO or ABS. The ilostat pack already ships dataflow_structure for ILO dataflows, and the abs-au pack already ships dataflow_structure for ABS dataflows — both inline codes directly, the same job sdmx_dataflow_structure here does. This pack supports registry: "ilo" and registry: "abs" only for the standalone sdmx_codelist lookup (a codelist by id, no dataflow needed) that neither of those packs exposes. Prefer ilostat's / abs-au's own `dataflow_structure` for an ILO or ABS dataflow — every response from this pack for those two registries repeats that in an overlap field.

Auth

Keyless. No auth on any of the eight registries above.

Data sources

  • Eurostat SDMX 2.1 REST API — https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1 — structure endpoints (/dataflow, /datastructure, /codelist) answer SDMX-ML XML only; every JSON Accept header and format=SDMX-JSON query param this pack tried either 406s or is silently ignored (confirmed live 2026-10-08). The eurostat pack's own data endpoint (/dissemination/statistics/1.0/data) is a *different* API that does speak JSON-stat — the two are not interchangeable.
  • OECD SDMX 2.1 REST API — https://sdmx.oecd.org/public/rest.
  • European Central Bank Data Portal — https://data-api.ecb.europa.eu/service — structure endpoints are XML only, same split the ecb pack already documents for its own /dataflow call (fleet #1158): the DATA endpoints speak SDMX-JSON, the STRUCTURE endpoints (/dataflow, /datastructure, /codelist) do not.
  • UN Statistics Division SDMX hub — https://data.un.org/legacy/ws/rest — the documented https://data.un.org/ws/rest/... path 302-redirects here; this pack calls the redirect target directly. It is a small, multi-agency hub (~15 dataflows observed) carrying UNSD's own flows (DF_UNDATA_ENERGY, DF_UNDATA_COUNTRYDATA) alongside mirrored IAEG-SDGs, UIS and World Bank flows under their own agency ids — pass agency if a dataflow you want belongs to one of those rather than UNSD.
  • IMF SDMX 2.1 REST API — https://api.imf.org/external/sdmx/2.1. IMF concept-level representation trap: some IMF dimensions carry no localRepresentation.enumeration at all — e.g. EER's COUNTRY and INDICATOR dimensions. Their codelist is declared on the shared CONCEPT instead: the dimension's conceptIdentity URN points at a concept scheme (e.g. IMF:CS_MASTER_DATA), and that concept's own coreRepresentation.enumeration is the real codelist (IMF:CL_COUNTRY for COUNTRY). This pack follows that chain automatically; a naive implementation that only reads dimension.localRepresentation will report those dimensions as codeless.
  • Bank for International Settlements SDMX 2.1 REST API — https://stats.bis.org/api/v2/structure (note the /structure segment — BIS nests dataflow/datastructure/codelist resources under it, unlike every other registry here).
  • ILOSTAT SDMX 2.1 REST API — https://sdmx.ilo.org/rest. Accept-Language trap: ILO's backend returns a bare 500 languageTag1 body for any request with no Accept-Language header at all — reproduced with Node's/Workers' fetch (which sends none by default) but NOT with curl, confirmed live 2026-10-08. This pack sends Accept-Language: en on every outbound request to every registry (harmless elsewhere) specifically because of this.
  • Australian Bureau of Statistics Data API — https://data.api.abs.gov.au/rest — the documented host api.data.abs.gov.au does not resolve; this is the same live host the abs-au pack already found and documented.

Size trap, all registries: fetching a DSD with references=children pulls in every codelist it uses in one response — Eurostat's UNE_RT_M alone is 3.7MB because its GEO (country/region) codelist is 2.6MB. This pack never does that: it fetches the DSD with references=none (a few KB — just the dimension list and each dimension's codelist REFERENCE), then fetches only the codelists actually needed, one at a time, each capped to max_codes_per_dimension (default 50, max 500) with a truncation flag and the true total code count.

A 404 on a structure endpoint always means "no such id" — unlike a data endpoint, there is no "dataflow exists but no observations matched" ambiguity for a structure query, so this pack does not need the data-endpoint no_records/no_dataflow split that shared/src/sdmx-miss.ts provides for other packs' get_data tools. Every 404 here comes back as a structured {error: "not_found", ...} naming sdmx_find_dataflow as the next step. A 200 that parses to zero dimensions or zero dataflows is reported as a loud upstream_parse: error, never as a silent empty result.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{

"mcpServers": { "sdmx-structure": { "url": "https://gateway.pipeworx.io/sdmx-structure/mcp" } } }

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/sdmx-structure/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{

"mcpServers": { "pipeworx": { "url": "https://gateway.pipeworx.io/mcp" } } }

Both URLs reach the same gateway and the same 1866+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/sdmx_dataflow_structure \

-H 'Content-Type: application/json' \ -d '{"registry":"eurostat","dataflow":"une_rt_m"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/sdmx_dataflow_structure. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Run it from npm

@pipeworx/mcp-sdmx-structure is a local stdio bridge to the Pipeworx gateway: your MCP client starts it with npx, and it forwards every call to the same https://gateway.pipeworx.io/sdmx-structure/mcp endpoint shown above. It needs network access; there is no offline mode.

{

"mcpServers": { "sdmx-structure": { "command": "npx", "args": ["-y", "@pipeworx/mcp-sdmx-structure"] } } }

Without a key it calls anonymously, capped at 50 calls a

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