Crs Reports
概要
作者による説明(英語の原文)
Congressional Research Service reports — Congress's own nonpartisan analysis, searchable and…
PopNx MCPの3つの柱
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
- 利用者の声iレビューはまだありませんレビューは今後のステップで、アカウント機能と一緒に始まります
- 私たちの基本チェックi3項目中3項目に合格公開情報からチェック。コードはまだスキャンしていません
- 利用状況iとても新しい↓ 288/週 · ★ –
できること
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
- 接続方法: パソコンでもクラウドでも
- トランスポート: stdio, Streamable HTTP
- カテゴリ: 検索・AIの記憶
- 入力が必要なもの:PIPEWORX_API_KEY
インストール
使っているAIアプリを選んで、設定をコピーしてください。
インストールの前に
- 基本チェック:3項目中3項目に合格
- 作者のサーバーで動きます。あなたが頼んだ内容は、作者のサーバーを通ります。
- できること:48件(ツール) ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, search_within …
- 自分で入力するもの:
PIPEWORX_API_KEY
「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
- Settings → Connectors を開く
- Add custom connector を押す
- 下のアドレスを貼り付けて Add を押す
- サインインを求められたら、作者のサービスにサインインする
https://gateway.pipeworx.io/crs-reports/mcpまたは、パソコンで動かす
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"crs-reports": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-crs-reports"
],
"env": {
"PIPEWORX_API_KEY": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add --transport http crs-reports https://gateway.pipeworx.io/crs-reports/mcpまたは、パソコンで動かす
claude mcp add crs-reports --env PIPEWORX_API_KEY=your-value -- npx -y @pipeworx/mcp-crs-reports動かす前に、空欄の値を入力してください。
または、設定を自分でコピーする
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"crs-reports": {
"url": "https://gateway.pipeworx.io/crs-reports/mcp"
}
}
}または、パソコンで動かす
または、設定を自分でコピーする
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"crs-reports": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-crs-reports"
],
"env": {
"PIPEWORX_API_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
または、設定を自分でコピーする
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"crs-reports": {
"type": "http",
"url": "https://gateway.pipeworx.io/crs-reports/mcp"
}
}
}または、パソコンで動かす
または、設定を自分でコピーする
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"crs-reports": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-crs-reports"
],
"env": {
"PIPEWORX_API_KEY": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
- ウェブ版のChatGPTを開き → Settings → Connectors (Apps)
- Create または Add を押す(プランによっては、先に Advanced で Developer mode をオンにする必要があります)
- 下のアドレスを貼り付け、名前を付けて保存する
- サインインを求められたら、作者のサービスにサインインする
https://gateway.pipeworx.io/crs-reports/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
自分で入力する値
- Optional Pipeworx API key. Without it calls are anonymous and capped daily; a free key raises the cap.
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
できること
ツールの名前と説明は、サーバーが2026年11月6日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
ask_pipeworxPREFER 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_betaBeta 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_groundedHallucination-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_withinSemantic 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_researchACCOUNT 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_toolsFind 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
subscribeCreate 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
unsubscribeCancel 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_subscriptionsList 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_alertsPull 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_factsTYPED, 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_searchSearch 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_dependencyComposite "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_researchResearch 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_arbitrageFind 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_edgesScan 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_spreadCross-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_riskRealizable-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_trackerEdge 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_edgePrices 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_auditExtract 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_diffField-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_marketsJOIN 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_calibrationREALIZED 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_compareThe 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_rateHow 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_evidenceWhat 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_compareWhat 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_rowClaygent-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_rowCheap 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_trendingWhat 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_questionsWhat 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_txtGenerate 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_checkProbe 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_presenceCompare 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_feedbackTell 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
rememberSave 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
recallRetrieve 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
forgetDelete 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.
crs_searchFind Congressional Research Service (CRS) reports on a policy topic, statute or programme and get their titles, summaries, topics, authors, publication dates and report numbers. CRS is the nonpartisan research service that writes explanatory analysis for Congress: what a law does
crs_reportRead one Congressional Research Service report in full by its report number (R43255, IF13006, LSB10123, IN12304). Returns the complete text of the current version, plus its authors, CRS subject topics, publication date, the bills and public laws it cites, how old the text is, and
crs_recentWhat the Congressional Research Service has published or revised lately — the newest CRS reports and updates, newest first, with their topics and summaries. Answers "what is CRS saying about current legislation right now" and tracks the analysis that follows a bill, a rule or a c
crs_topicsThe Congressional Research Service's own subject taxonomy, with how many reports carry each term — the legal filter values for crs_search and crs_recent. Also lists CRS analysts by output, and the product families. Call this before filtering by topic: CRS writes 'U.S. Trade Polic
基本チェックi
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
- ✓ 合格
作者とリポジトリが一致
レジストリ名は、リポジトリを所有するGitHubアカウント pipeworx-io で確認済みです
- … 未チェック
今もメンテナンスされている
このリポジトリはまだGitHubから読み取っていません
- … 未チェック
ライセンスがある
このリポジトリはまだGitHubから読み取っていません
- ✓ 合格
エンドポイントが応答する
412ミリ秒で応答(HTTP 200)
- – 対象外
OAuthでサインイン
サインイン不要
- ✓ 合格
ツールの説明に隠れた指示がない
48件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
検索・AIの記憶のほかのサーバーとの比較i
- このカテゴリのほかの5686件のうち0%よりスターが多い
- このカテゴリのほかの5686件のうち83%より最近レジストリに公開
- 基本チェックの結果が、このカテゴリのほかの5686件のうち100%と同じかそれ以上
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
よくある質問
Crs Reportsは安全ですか?
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
どんなキーやコードが必要ですか?
入力が必要なもの:PIPEWORX_API_KEY
パソコンで動きますか、それともクラウドですか?
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
今もメンテナンスされていますか?
GitHubリポジトリの最終更新は–、最新バージョン(0.2.1)がレジストリに届いたのは8 日前です。
どのアプリで使えますか?
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
代わりに使えるものは?
同じカテゴリには:Context7, Codebase Memory, Exa
代わりの候補
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者のREADME
READMEを開く
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
@pipeworx/crs-reports
Congressional Research Service reports — Congress's own nonpartisan analysis of statutes, federal programmes and policy options — searchable by subject and readable in full, with each report's authority, citations, licence and age stated on every response.
Part of Pipeworx — an MCP gateway connecting AI agents to 1863+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
crs_search(query?, topic?, product_class?, author?, published_since?, published_before?, limit?)— ranked search over report titles and the summaries CRS publishes with them. Returns titles, report numbers, CRS subject topics, authors, publication dates and a summary snippet. Ranks titles and summaries, not report bodies — that boundary is stated in every response assearched, because a miss otherwise reads as "CRS has never written about this".crs_report(report_id, include_text?, max_chars?)— one report in full by its number (R43255,IF13006,LSB10123). Returns the complete current-version text plus authors, topics, the bills and public laws it cites, and its age.crs_recent(days?, topic?, product_class?, limit?)— what CRS has published or revised lately, newest first. The change feed, for tracking the analysis that follows a bill or a rule.crs_topics(facet?, limit?)— CRS's own subject taxonomy with per-term counts, plus analysts and product families. Call it before filtering: CRS writesU.S. Trade Policy, and a guessedTradematches nothing.
Auth
On the Pipeworx gateway: keyless. The gateway injects the corpus — the report index and the extracted report text — so a gateway call needs nothing from the caller.
Standalone (`npm i @pipeworx/mcp-crs-reports`): bring an api.data.gov key. A standalone install has neither half of the corpus, so the pack falls back to the Library of Congress's own API and needs a key for it. Pass it as _apiKey on any tool call; keys are free at https://api.data.gov/signup/ and one key works across every api.data.gov-fronted API. With no corpus and no key every tool returns {found: false, reason: "corpus_unavailable"} and says so.
The two modes are labelled, because they are not the same answer
Every response carries mode: corpus (hosted) or live_api (standalone with a key). What live mode cannot do — stated on the response rather than silently degraded:
mode: "corpus" | mode: "live_api" | |
|---|---|---|
crs_report text | full extracted report text, checksum-verified | CRS's own summary only, never under the name text; the body stays in the PDF at pdf_url |
crs_search scope | every title and summary, ranked | titles only, scanned from the newest-updated end (the list endpoint has no query parameter at all); the response states how many it read against the corpus total |
topic / author filters | yes | refused by name — they exist only on the per-report record, so honouring one would cost a request per report across 14,000 reports |
crs_topics | full vocabulary with per-term counts | product_class only, without counts |
The refusals are deliberate. An unfiltered list returned under a filtered question is the wrong answer wearing the right label, and a 3,700-character summary sitting in the field where a 61,000-character report belongs is the one substitution a caller would never notice.
If the corpus fails mid-call and the caller supplied _apiKey, the answer comes from the live API instead and carries degraded_from_corpus saying so.
Data sources
- https://api.congress.gov/v3/crsreport — the Library of Congress's record for each report: title, publication date, current version, authors, CRS subject topics, related bills and public laws, and CRS's own summary. api.data.gov fronted.
- https://www.congress.gov/crs_external_products/ — the report PDFs the API points at; the text comes from the current version of each.
What the data does and does not say
CRS analysis is persuasive, never binding. It is not law, it binds no court and no agency, and it is cited as background and legislative context. Every response carries authority.binding_status: "persuasive" and a binding_note saying this in words, so a downstream agent cannot mistake a CRS explanation of a statute for the statute.
The set is the currently-active one, 2018 to today — 14,115 reports at the time of writing, which is what CRS presently lists as active rather than the full historical archive. A report withdrawn or superseded by CRS leaves the set.
Licence: none needed. CRS reports are works of the US federal government and 17 U.S.C. §105 puts them outside copyright, so license_terms.encumbered is false and no attribution is required. The one caveat, which CRS prints itself and this pack repeats in license_caveat: an individual report may reproduce a third-party chart or photograph, and §105 does not reach those.
Traps, measured 2026-09-15
Worth knowing before touching the ingest (scripts/ingest-crs-reports.mjs):
- `sort` is accepted and ignored.
sort=updateDate+asc,sort=updateDate+descand a nonsense parameter all return the same first row. The list is always newest-first byupdateDate. Nothing errors, so ordering built onsortis wrong and looks right. - `fromDateTime` / `toDateTime` do work, and they filter on
updateDate— 14,115 unfiltered against 585 forfromDateTime=2026-09-01. That pair is the change feed that keeps the daily pass incremental. - `updateDate` is an America/New_York wall time wearing a `Z`. Fourteen sampled reports each had a PDF
Last-Modifiedexactly 4h (EDT) or 5h (EST) after theirupdateDate, to the second; the DST correlation is what rules out a fixed publishing lag. The PDF's header is the same event in real UTC and is what gets stored. - One walk of the list does not see the whole corpus. It returns exactly the 14,115 rows it claims and 14,097 distinct ids: 18 come back twice, every duplicate pair sharing one
updateDate(2025-09-08T11:20:24Z). That is an unstable tiebreak — ordering is byupdateDatealone and thousands of rows share a stamp from one bulk republication — so about as many reports are skipped as repeated while the count looks perfect. The ingest collapses duplicates and walks again. - The list row lags its own detail record. Seconds apart for IF12988:
list.version1 /list.updateDate22:09:04 againstcurrentVersion6 /updateDate22:38:57. Enumerate from the list; take every value from the detail record. - The HTML rendition is unreachable and the PDF is fine. The
/crs_external_products/ /HTML/ .htmlpath answers 403 withCf-Mitigated: challengefrom Worker egress and from a laptop, with and without a full browser header set. The PDF path answers 200 from both. A bareHEADon the PDF gets 403 whereGETgets 200, so a HEAD-only probe condemns the working path. - `summary` is the whole document for short products and only the summary for long ones. R43255 is 3,754 characters of summary against 61,691 of report.
text_sourceon every response says which rendition the text came from.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": { "crs-reports": { "url": "https://gateway.pipeworx.io/crs-reports/mcp" } } }
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/crs-reports/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 1863+ 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/crs_search \
-H 'Content-Type: application/json' \ -d '{"query":"tariffs"}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/crs_search. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Run it from npm
@pipeworx/mcp-crs-reports 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/crs-reports/mcp endpoint shown above. It needs network access; there is no offline mode.
{
"mcpServers": { "crs-reports": { "command": "npx", "args": ["-y", "@pipeworx/mcp-crs-reports"] } } }
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 Crs Reports data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT