原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Gleif

作者:pipeworx-io版本 0.2.1i★ –i电脑或云端
注册名称io.github.pipeworx-io/gleif

安装

概览

作者提供的说明(英文原文)

GLEIF MCP — Global Legal Entity Identifier Foundation (free, no auth)

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。

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: 法律与政府数据
  • 你需要填写:PIPEWORX_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

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?

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://gateway.pipeworx.io/gleif/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": {
    "gleif": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-gleif"
      ],
      "env": {
        "PIPEWORX_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

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

或者在你的电脑上运行

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

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": {
    "gleif": {
      "url": "https://gateway.pipeworx.io/gleif/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": {
    "gleif": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-gleif"
      ],
      "env": {
        "PIPEWORX_API_KEY": "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": {
    "gleif": {
      "type": "http",
      "url": "https://gateway.pipeworx.io/gleif/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": {
    "gleif": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-gleif"
      ],
      "env": {
        "PIPEWORX_API_KEY": "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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://gateway.pipeworx.io/gleif/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

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

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6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。

  • 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.

  • search_lei

    Search the GLEIF LEI registry by legal entity name. Returns matched entities with their 20-character LEI, jurisdiction, status, and BIC/ISIN cross-references. Use the LEI to resolve canonical identity across SEC, OpenSanctions, and counterparty databases. Name matching is whole-t

  • get_lei

    Fetch the full Level 1 LEI record for a legal entity. Returns legal name, registered address, headquarters address, entity category, legal form, registration authority, LEI registration status (ISSUED / LAPSED / RETIRED / ...), jurisdiction, parent LEI (if any), and timestamps. A

  • get_lei_relationships

    Fetch Level 2 corporate hierarchy for an LEI: direct parent, ultimate parent, and direct children. Use to map ownership trees across multinational groups. Accepts a company NAME as well as an LEI.

  • isin_to_lei

    Resolve an ISIN (12-character international securities identifier, e.g. "CH0038863350" or "DE0007164600") to the LEGAL ENTITY that issued the security: its LEI, registered legal name, jurisdiction, and status, via the official GLEIF ISIN-to-LEI mapping. Answers "who issued this s

  • lei_to_isins

    List ALL ISINs (securities) issued by a legal entity, from the official GLEIF ISIN-to-LEI mapping. Accepts a 20-character LEI or a company NAME (resolved automatically and echoed back). Answers "what securities has this company issued" / "all ISINs for Nestlé". Returns the full s

  • bic_to_lei

    Resolve a SWIFT/BIC bank identifier code (8 or 11 characters, e.g. "DEUTDEFF" or "DEUTDEFFXXX") to the bank's legal entity: LEI, registered legal name, jurisdiction, and status, via the official GLEIF BIC-to-LEI mapping. Answers "which legal entity is behind this BIC" / "LEI for

  • lei_hierarchy_tree

    Walk the FULL corporate ownership hierarchy for an entity in one call: the ancestor chain from the entity up to its ultimate parent, plus a multi-level tree of subsidiaries below it (breadth-first over GLEIF Level 2 direct-child records, depth-limited, depth stated in the respons

  • gleif_group_members

    Every entity in a corporate group, across all jurisdictions, in ONE call — built on the GLEIF golden copy (every Level 2 relationship record). Give any member of the group (LEI or company name): the tool climbs to the group's ultimate accounting-consolidation parent and returns e

  • gleif_lei_screen

    Bulk screen of LEI registrations in a jurisdiction across all ~3.4M LEIs in the GLEIF golden copy. Filter by registration status (LAPSED, RETIRED, ANNULLED, ISSUED ...), entity status, category, most recent legal-entity event (MERGERS_AND_ACQUISITIONS, ABSORPTION, DISSOLUTION, LI

  • decode_elf_code

    Decode an ISO 20275 Entity Legal Form (ELF) code to its registered name, language, country and jurisdiction. This is the 4-character code GLEIF publishes as `legal_form` on every LEI record (get_lei, search_lei results) — "XJHM" decodes to Sweden's "Aktiebolag", for example. Two

  • decode_registration_authority

    Decode a GLEIF Registration Authority (RA) code to the national business register's name, website and jurisdiction(s). This is the code GLEIF publishes as `registration_authority` on every LEI record (get_lei, search_lei results), naming the register that assigned the entity's `r

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10日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 pipeworx-io 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 223 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 55 个工具描述,未发现针对 AI 的隐藏指令

与“法律与政府数据”中的其他服务器比较i

  • 星标数多于此分类中其他 1783 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1783 个服务器的 81% 更新
  • 基础检查结果等于或优于此分类中其他 1783 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

Gleif 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?

你需要填写:PIPEWORX_API_KEY

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(0.2.1)于8天前进入注册中心。

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:Korea Tax Law, Vextorium, Sanctions & Tariff Lookup

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

Korea Tax Law

Korea tax law: NTS rulings, court/tribunal decisions, basic rules, treaties, point-in-time statutes

作者:UpstageAI起步阶段↓ 1529/周今天更新

在你的电脑上运行

Vextorium

200+ x402 APIs for AI agents: official statistics, crypto prices, compliance and web tools.

作者:bru1noia起步阶段今天更新

在云端运行✓ api.vextorium.com

Sanctions & Tariff Lookup

Screen names on OFAC/CSL, UN, UK and EU sanctions lists; look up US HTS tariff codes and rates.

作者:trystarrynightops.com今天更新

在云端运行✓ trystarrynightops.com

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。

@pipeworx/gleif

Global Legal Entity Identifier Foundation MCP — LEI lookup, ISIN/BIC-to-entity mapping, and corporate hierarchy, no auth.

Part of Pipeworx — an MCP gateway connecting AI agents to 1865+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

  • search_lei(query, country?, status?, page_size?) — fuzzy entity-name search. If country narrows the result to nothing, the filter is dropped and the response says so via country_filter_dropped — GLEIF filters on the *registered legal address*, which often is not where the entity operates (no Sberbank-named record has a Russian one; they sit in CY/SK/LU/GB).
  • get_lei(lei) — full Level 1 record: legal name, addresses, jurisdiction, legal form, and LEI registration status. Accepts a company name as well as a 20-character LEI; a resolved name is echoed back as resolved_from_name. legal_form and registration_authority are decoded inline, best-effort, as legal_form_decoded / registration_authority_decoded (see decode_elf_code / decode_registration_authority below) — a decode failure never blocks the base record, and the raw codes are always still present.

`registered_as` + `registration_authority` (on `get_lei` and every `search_lei` result). The company's id in its OWN national business register, and the code of that register — RA000585 UK Companies House, RA000189 INSEE Sirene, RA000413 Japan NTA, RA000472 Brønnøysund. This is what ties an LEI to a national-register record *by key* rather than by name similarity (the name route is what resolved "Porsche" to a Martinique entity). An id is only unique within its register, so always read the pair. Two things to know: GLEIF publishes some registers' ids with spaces inside them (Equinor's Norwegian orgnr arrives as 923 609 016) and this pack strips all whitespace so the id joins — nothing else is changed, because -, ., _ and / are part of how those registers format their own ids; and RA999999 is GLEIF's "other / not applicable" sentinel, which never carries an id (0 of 201 in a sampled daily delta). Null when GLEIF publishes no id — ~7.5% of records.

  • get_lei_relationships(lei) — Level 2 direct parent, ultimate parent, direct children (one hop).
  • isin_to_lei(isin) — resolve a security's ISIN to the legal entity that issued it (LEI + legal name). A valid-but-unmapped ISIN is reported as mapped: false, reason: "isin_unmapped" — the mapping lags new issuance, so unmapped ≠ nonexistent.
  • lei_to_isins(lei) — all ISINs issued by an entity (LEI or company name accepted). Returns the full set — one entity issues many securities.
  • bic_to_lei(bic) — resolve a SWIFT/BIC (8 or 11 chars) to the bank's legal entity. 8-char codes are padded to the XXX head-office form (GLEIF's filter matches 11-char BICs only); a branch BIC with no mapping of its own falls back to the head office and says so.
  • lei_hierarchy_tree(lei, depth?) — multi-hop ownership: ancestor chain up to the ultimate parent plus a breadth-first subsidiary tree (depth 1–4, default 2, node budget 150/call).
  • gleif_group_members(lei, limit?) — the WHOLE consolidated group in one call, across every jurisdiction. Pass any member (LEI or name); the tool climbs to the ultimate accounting-consolidation parent and returns every entity that reports it, every direct-parent descendant, and their international branches. member_count, jurisdiction_count and by_jurisdiction always cover the full group; the member list is capped at limit (default 300, max 2000) and says when it is. Siemens AG: 572 reported subsidiaries, matching GLEIF's own ultimate-children count. Fund-management links are not ownership and are excluded. Carries data_as_of.
  • gleif_lei_screen(jurisdiction, registration_status?, entity_status?, category?, event_type?, since_days?, name_contains?, limit?, offset?) — bulk screen across all ~3.4M LEIs: e.g. every LEI in DE that lapsed in the last 30 days, Delaware (US-DE) entities retired this quarter, UK entities whose latest event is a merger. A country code includes its subdivisions. since_days applies to status_date (LAPSED = the renewal date missed; RETIRED/ANNULLED = entity expiration date, else last update; ISSUED = initial registration) or, with event_type, to the event date. total is exact up to 100,000. GLEIF records a merger as RETIRED plus a MERGERS_AND_ACQUISITIONS/ABSORPTION event with successor_lei — MERGED is refused with that explanation rather than answered with zero rows. Sole-proprietor names are withheld in bulk results (they name individuals). Carries data_as_of.
  • decode_elf_code(code) — decode an ISO 20275 Entity Legal Form code (the 4-character code in legal_form) to its registered name, language, country and jurisdiction, e.g. "XJHM" → Sweden's "Aktiebolag". The two ISO sentinel codes, "8888" (no specific legal form recorded) and "9999" (not yet classified), carry no country and are flagged via is_sentinel rather than answered as a plain miss.
  • decode_registration_authority(code) — decode a GLEIF Registration Authority code (the code in registration_authority) to the national business register's name, website and jurisdiction(s), e.g. "RA000585" → the UK's Companies House. Bare digits are zero-padded and prefixed with "RA" automatically.

Data source

gleif_group_members and gleif_lei_screen answer from the GLEIF golden copy (Level 2 relationship records and Level 1 entity reference data, published three times a day at goldencopy.gleif.org), refreshed daily. data_as_of in each response is the GLEIF publish time the answer reflects.

Licence. GLEIF LEI Data Terms of Use, section II: *"The data available through the Access Service are provided under the CC0 licence"* (terms, read 2026-09-30).

decode_elf_code and decode_registration_authority answer per code from GLEIF's own ISO 20275 Entity Legal Forms code list and its Registration Authorities list. get_lei's inline legal_form_decoded / registration_authority_decoded use the same two lookups.

The other tools:

https://api.gleif.org/api/v1/ — public JSON:API, no key required. ISIN and BIC joins use GLEIF's official ISIN-to-LEI and BIC-to-LEI mapping files as served through the same API (filter[isin], filter[bic], /lei-records/{lei}/isins).

Passing an LEI

Every tool that takes an lei argument also takes a company name — the name is resolved against the registry and the match is returned alongside the answer. Pass the name whenever that is what you have.

Never construct an LEI code. A guessed 20-character string that happens to be a real LEI belongs to some other company, and GLEIF returns its record with nothing to indicate the wrong entity was fetched — a request for Wirecard AG once came back as Baader Bank Aktiengesellschaft. Codes are checked against the ISO 17442 (ISO 7064 MOD 97-10) check digits before any request is made, and a code that fails is rejected with a message naming search_lei; that catches roughly 96 of every 97 invented codes, but not one that collides with a live record, which is why the name path exists.

Quick Start

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

{

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

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/gleif/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 1865+ 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/search_lei \

-H 'Content-Type: application/json' \ -d '{"query":"Apple Inc"}'

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

Run it from npm

@pipeworx/mcp-gleif 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/gleif/mcp endpoint shown above. It needs network access; there is no offline mode.

{

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

Without a key it calls anonymously, capped at 50 calls a day. A free account raises that to 200 a day: get a key at https://pipeworx.io/signup and add "env": { "PIPEWORX_API_KEY": " " } to the server entry. The key is sent as a Bearer token, the same way a hosted connection sends it, so calls are metered and billed exactly as they are there.

It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to also list ask_pipeworx and the other gateway-wide tools.

Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check your Node version's documentation.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Gleif data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

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