China Stocks MCP Server

Install China Stocks MCP server

claude mcp add china-stocks -- npx -y @pipeworx/mcp-china-stocks

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

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

{
  "servers": {
    "china-stocks": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-china-stocks"
      ]
    }
  }
}

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

Context tax

Connecting this server adds ~29,285 tokens of tool definitions to every model turn (bloated, 57 tools). Measured 2026-10-19 via its hosted endpoint; o200k tokenizer, worst case for clients that load all tools up front. How we measure

Input prices as of 2026-10-06. Excludes your own prompt and output.

Tools (57)

• polymarket_kalshi_spread1,737 tok

  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 so. TWO MODES: (1) `topic` — 11 pre-mapped macro subjects ("fed", "btc", "eth", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. You do NOT have to use those exact keys: the topic is resolved through aliases and keywords, so "

• company_facts1,542 tok

  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 period matters: those answer "the most recent figures" and will happily hand back FY2025 when you asked about FY2019, and neither separates a discrete quarter from a year-to-date figure. This one refuses instead — it NEVER substitutes the latest period for the period requested, NEVER returns 0 for missing data, NEVER let

• bet_research1,224 tok

  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. Prefer an UNDATED slug: a dated one ("...-by-june-30-2026") stops resolving the day it settles, because Polymarket de-indexes resolved markets. The tool resolves the market, classifies the bet, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is

• polymarket_edges1,175 tok

  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_segment: (1) MODEL_DRIVEN — crypto_price (lognormal barrier from 90d FRED log-returns) and news_momentum (GDELT 7d/21d article-volume ratio, soft signal w/ halved Kelly). (2) STRUCTURAL_ARBITRAGE — partition_overround on mutually-exclusive events; per-leg favorite-longshot bias correction with per-sport α (tennis 1.02, socc

• subscribe1,135 tok

  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"] = officer change), "polymarket_edge" (Polymarket↔Kalshi cross-venue mispricings — params:{topic:"fed"}), "fred_series" (new FRED observations — params:{series_id:"UNRATE"}), "patent_grant" (new USPTO grants for an applicant), "clinical_trial" (new/updated ClinicalTrials.gov studies), "form_d" (new SEC Form D fundraise not

• kalshi_weather_edge974 tok

  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 (mid), forecast_prob, and edge_pp per strike, plus the settlement clause verbatim. BACKTEST (`backtest_days: N`): scores an archived gridded forecast against the market on settled days and returns brier_market vs brier_forecast with a plain-English `verdict`, so the edge is MEASURED rather than asserted. READ THE WARN

• entity_profile925 tok

  "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 chaining single-pack SEC/XBRL/news lookups when the user asks for a holistic view. Fans out across SEC EDGAR, XBRL, USPTO patents, federal contracts (USAspending), FDA-licensed biologics (Purple Book), H-1B hiring (DOL LCA), news and GLEIF, and returns: cik + company_name (+ resolved_from/resolved_to when `value` was a na

• polymarket_arbitrage909 tok

  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. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/

• release_calendar_markets886 tok

  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 cached like every other pack (≤ 60s TTL) and there is no push/webhook — do not use this to try to beat a release, use it to see what is coming and what is already priced. CATEGORIES: econ (CPI, Employment Situation/jobs report, GDP, PCE, PPI, retail sales, housing starts, jobless claims — via fred_release_dates per know

• research_row841 tok

  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 independently verified the model's quote is a VERBATIM substring of text actually fetched; "inferred" means a value was given but the quote could not be verified; "not_established" means no source answered the field, and its value is always null — never guessed, never a blended score. Sources: "web" fetches the company's

• ashares_technical_indicators829 tok

  Technical indicators for Chinese A-share stocks and ETFs (均线/布林/MACD/KDJ) — MA (moving averages, any windows, default MA5/MA10/MA20/MA60), BOLL (Bollinger Bands, default 20-period ×2 std dev), MACD (DIF/DEA/柱, default 12/26/9), and KDJ (K/D/J, default 9/3/3), computed from this pack's own daily OHLCV history (same source and codes as ashares_daily_history — ETF codes like 515050/588170/561980 work the same as stock codes). Answers '515050通信ETF华夏最近20个交易日MA5/MA10/MA20/BOLL/MACD/KDJ', '603986兆易创新周线MACD是否死叉', 'MA20 and BOLL for an A-share ETF', '布林带', '均线', '金叉死叉'. Internally fetches extra lookbac

• company_register_search736 tok

  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 the OFFICIAL REGISTERED ENTITY and the country is not the US, or when you do not know which country it is. Registers searched: Companies House (GB), Enhetsregisteret (NO), PRH/YTJ (FI), Sirene (FR), 法人番号公表サイト (JP), RIK e-Business Register (EE), and the GLEIF LEI crosswalk, which reaches jurisdictions we have no regist

• deep_research722 tok

  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 1839 STRUCTURED data sources (SEC filings, FRED/BLS economics, FDA, USPTO patents, markets, science, government records, etc.) in ONE call — this is NOT open-web search. Decomposes your question into focused facets, routes each to the right one of 6,997 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a s

• resolve_entity714 tok

  "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 require as input. Use FIRST whenever you have a name but need an ID. SUPPORTED TYPES: "company" (cross-source identity spine: 10-digit CIK + ticker + company_name from SEC EDGAR, legal-entity LEI from GLEIF with parent/ultimate-parent/children ownership when the LEI resolves, and security FIGI from OpenFIGI — by exact ti

• ashares_intraday_bars666 tok

  Intraday minute bars (分钟线/分时/分钟K线) for Chinese A-share stocks/ETFs on a given trading日/交易日, with cumulative volume and turnover (累计成交量/累计成交额) computed up to a requested time of day (截至<time>, e.g. 截至11:05) — answers '515050在2026-09-01这个交易日截至11:05的累计成交量和累计成交额', '600519某个交易日截至某时刻的累计成交量和成交额', 'cumulative volume for 600519 up to 11:05 on a past trading day', 'intraday minute bars for an A-share on a specific date'. ashares_quote is realtime-only (today, right now) and ashares_daily_history is end-of-day-only (no intraday granularity) — this tool is for a PAST trading日's intraday trajectory. Return

• ask_pipeworx661 tok

  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 authoritative structured data with citations. Routes the question to the right one of 6,997 tools across 1839 verified sources, fills arguments, returns the structured answer with stable pipeworx:// citation URIs. Use whenever the user asks "what is", "look up", "find", "get the latest", "how much", "current", or any fac

• ashares_turnover_ranking630 tok

  Market-wide ranking of Chinese A-share stocks by turnover / 成交额排名, 成交额前30名, 成交量排名, or 涨跌幅排名 — the whole board (not specific codes), sorted server-side and returned as a ranked list. Answers 'A股成交额前30名', 'top 30 A-shares by turnover today', 'A股成交量排名', 'A-share market-wide ranking by amount/volume/change %', 'which A-shares traded the most today'. Each row has code, name, price, change %, volume (shares), turnover in CNY (成交额), turnover rate %, and industry (行业/板块, when resolvable). Omit `date` (or pass today) for the LIVE board (Sina, real-time). Pass a PAST trading day in `date` for that day's

• polymarket_fill_risk629 tok

  Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default

• pipeworx_feedback510 tok

  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 Pipeworx connection — if the tool came from a different MCP server in your client (another vendor's Gmail, Splunk, Slack, etc. connector), we cannot fix it and reporting it here only delays you; file it with that server instead. Not sure? Pipeworx tool names are the ones this connection lists. Describe the issue in terms of P

• resolution_audit489 tok

  Extract the settlement clause of a single Polymarket or Kalshi market: who publishes the settling number (source), the clock time + timezone it is taken at, the precision of the computation (e.g. "1-minute candle close" vs "60-second trailing average" vs "election outcome"), the evidence standard (official_source | consensus_reporting | any_credible_report | unspecified), and void_handling (cancellation/postponement settlement — reused verbatim from bet_research's cancellation_rule detector, not re-derived). Parses Polymarket's `description` field (fetched via polymarket_market) or Kalshi's `r

• resolution_diff469 tok

  Field-by-field diff of TWO markets' settlement clauses (one from each of `a` and `b`; either can be Polymarket or Kalshi) — runs resolution_audit on both sides and compares source, settle time, precision, and evidence standard. Returns `equivalent`: "true" only when both sides parsed with enough confidence to compare AND no field conflicts; "false" when a specific conflict was found (differing_fields names which — e.g. ["source","settle_time"] for a Polymarket Bitcoin market settling on Binance's 1-minute candle at noon ET versus a Kalshi KXBTCD market settling on CF Benchmarks' BRTI 60-second

• ashares_margin_financing466 tok

  China A-share margin financing and securities lending balance (融资融券余额/两融余额) — the market-wide leverage gauge: aggregate financing balance (融资余额, money borrowed to buy stock), securities-lending balance (融券余额, shares borrowed to short), and their combined total (融资融券余额), for the Shanghai (SSE) and Shenzhen (SZSE) exchanges separately and combined, with day-over-day change. Answers '融资余额', '两融余额', '融资融券余额', 'margin financing balance', 'China A-share margin debt', 'how much margin debt is in the A-share market', 'margin balance day over day change'. Pass a 6-digit SZSE code (0/3/159-prefixed) in

• ashares_sector_capital_flow466 tok

  China A-share INDUSTRY-SECTOR net capital inflow ranking (行业资金流向排名/板块资金流) for a trading day -- ranks Eastmoney's ~128 industry boards (行业板块) by main-capital net inflow (主力净流入), with the breakdown by order size (超大单/大单/中单/小单 net inflow in CNY), the day's change %, and each sector's single stock with the largest net inflow. Answers '今日行业资金流向排名', 'which industry sectors had the biggest net capital inflow today', '板块资金流排名', 'sector fund flow ranking', 'semiconductor sector money flow today'. This is a DIFFERENT metric from china-exchange-data's ashares_sector_flows, which is SZSE's own official pe

• archive_evidence450 tok

  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, and the GAP between the date asked for and the capture actually used (e.g. "Captured 1.5 day(s) before the requested date"). One call replaces the find-capture, fetch-record, parse-HTML chain. If no archive holds a capture within max_gap_days (default 30) it answers status "no_capture" and names the nearest capture b

• ashares_daily_history434 tok

  Daily OHLCV history (历史日线) for one or more Chinese A-share stocks over a date range — open, high, low, close, volume, and day-over-day change % per trading day. Answers '300418在2026-08-31到2026-09-03的收盘价和涨跌幅', 'daily closes for 600519 last week', 'history for 000858 and 300750 this month', '涨跌幅历史', '历史成交量'. Up to 20 comma-separated 6-digit codes. change_pct is computed from consecutive closes within the returned range (the first row has no prior close in range, so it is null); turnover amount (成交额) is not exposed by this daily-bar source, so amount_cny is reported as "not_available" rather than

• validate_claim416 tok

  "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 factually correct. Company-financial claims (revenue, net income, cash for public US companies) verify via the structured SEC EDGAR + XBRL fast path with exact percent-delta math; ANY OTHER factual claim (macro statistics, rates, prices, drug data, records) automatically falls through to the grounded pipeline — routed t

• ask_pipeworx_beta414 tok

  Beta version of ask_pipeworx: identical universal router (same 6,997 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 this currently matches ask_pipeworx exactly. Use it exactly like ask_pipeworx when you want the newest routing; results are compared against the stable router to decide what merges. Falls back to nothing — this IS a full working router, just the experimental edge.

• ask_pipeworx_grounded399 tok

  Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 6,997 across 1839 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must n

• ashares_stock_connect380 tok

  Stock Connect (沪深港通) daily channel statistics: GROSS TURNOVER for Northbound (mainland A-shares bought via Hong Kong -- 沪股通/深股通/combined) and Southbound (Hong Kong-listed stocks bought by mainland investors -- 港股通沪/港股通深/combined), plus a best-effort per-stock "top traded stocks" list for Northbound. Answers "northbound stock connect turnover today", "沪深股通成交额", "how much did northbound/southbound trade today", "stock connect top traded stocks". IMPORTANT: mainland regulators (CSRC) stopped publishing DAILY net fund-flow figures (net buy/sell, daily inflow, remaining quota) for NORTHBOUND Stock

• archive_compare379 tok

  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 both capture timestamps with their gaps from the requested dates. It diffs readable text, not markup, so a restyled page with the same words reads changed:false. Identical captures answer changed:false with the reason (same capture, identical content digest, or identical text), never an empty diff. A date with no captur

• recent_changes377 tok

  "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 since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured chan

• polymarket_edge_tracker376 tok

  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: days (lookback, default 14, max 30), window (snapshot family, default "1wk"). RESPONSE: tracked[] = every opportunity in the LATEST snapshot with its full edge_pp_net time-series across prior snapshots, first_seen, trend (new | widening | stable | decaying) and decay_pp_per_day (both computed on |edge_pp_net| — the valu

• ashares_etf_shares362 tok

  Disclosed fund-share-count (基金份额) and net-asset history for a Chinese-listed ETF — period-end total shares outstanding (期末总份额), the period's subscriptions/redemptions (期间申购/赎回), and period-end net assets (期末净资产), in shares and CNY. Answers '基金份额变动', 'ETF shares outstanding history', '515050规模变动', 'how many shares outstanding does this ETF have over time'. IMPORTANT: this is NOT a daily series — Chinese ETFs publicly disclose 份额 only at quarter-end plus occasional ad-hoc material-change dates (confirmed live for 515050/561980/588170/588200), not every trading day; a `from`/`to` window with no d

• classify_row342 tok

  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, evidence_url, quote, status: found|inferred|not_established} — "found" only when the model's quote is independently verified as a verbatim substring of the text used. Pass text directly (cheapest — no fetch) or entity.domain to fetch the homepage once as a fallback. No text and no domain means every label is not_establi

• ashares_capital_flow333 tok

  Per-stock daily main-capital net inflow history (主力净流入 / 超大单+大单净流入, often called '超大单净流入' in retail trackers) for a Chinese A-share stock or ETF — one row per trading day with net inflow broken down by order size: 超大单 (super-large/institutional), 大单 (large), 中单 (medium), 小单 (small), plus 主力净流入 (main = 超大单+大单combined) in both CNY amount and as a % of that day's turnover. Answers '主力净流入历史', '超大单净流入', '000768最近20个交易日的主力资金流向', 'main capital net inflow history for a China A-share stock', 'which days did big money flow into/out of a stock'. A positive net inflow means net buying pressure from that o

• compare_entities332 tok

  "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 entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "

• search_within327 tok

  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 the prompt — search_within saves context, returns only the passages that matter, and every passage carries an offset so the agent can verify a verbatim quote. Pairs with ask_pipeworx_grounded: fetch with the gateway, ground over the relevant passages instead of the whole document. BGE-base-en embeddings + cosine over 500

• discover_tools316 tok

  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 estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see th

• ashares_billboard314 tok

  The Chinese A-share market's daily 龙虎榜 (dragon-tiger list / billboard) for a trading day — stocks flagged for unusual price/turnover deviation, with the top seats' buy/sell/net amounts, plus (when present that day) institution-seat (机构专用) net-buy detail and that day's most-active brokerage branches (营业部) market-wide as a 'top brokerages' signal. Answers '龙虎榜', 'dragon tiger list for a date', 'which stocks were on the billboard on 2026-09-24', '机构净买入', 'institution seat net buys', 'top active brokerage seats'. Each listed stock has the reason it was flagged (EXPLANATION, e.g. daily move ≥7%), c

• ai_visibility_check313 tok

  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 per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

• remember305 tok

  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-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

• scan_dependency287 tok

  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 / small" or "what does adding lodash cost me". Returns a summary block (is_latest, license, published_at, advisory_count, bundle_kb_min, bundle_kb_gz, dependency_count, has_esm, tree_shakeable), per-advisory detail, links, and a list of recent alternative versions. NPM ecosystem only in v1; PyPI / Maven / Cargo / Go f

• scan_competitor_ai_presence283 tok

  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 competitors?". Returns ranked list with score, confidence, signal density per entity.

• ashares_limit_down264 tok

  The Chinese A-share market's LIMIT-DOWN board (跌停板) for a trading day — how many stocks hit their daily DOWN price limit (-10%, or -20% for STAR/ChiNext) and the ranked list of those stocks. Answers 'how many A-shares hit limit down today', '跌停家数', 'which stocks 跌停', 'limit-down stock count for a China A-share trading day' — the counterpart to ashares_limit_up, together giving market-wide limit-up/limit-down breadth. Each stock includes code, name, price, change % (negative), turnover (成交额), float market cap, turnover rate (换手率), seal fund (封板资金), last seal time, industry (行业), and P/E. Source

• suggest_questions262 tok

  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 example questions (company financials, drugs & clinical trials, economics, real estate, prediction markets, weather, government & patents, science & academia, news) — each with the exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools. Call with no arguments for the full spread,

• recent_alerts235 tok

  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). Set mark_read:true to flag returned events read so the next call only shows newer ones. Polls work fine; the same feed is also at GET registry.pipeworx.io/alerts.json for scripts and dashboards.

• ashares_limit_up226 tok

  The Chinese A-share market's LIMIT-UP board (涨停板) for a trading day — how many stocks hit their daily price limit (+10%, or +20% for STAR/ChiNext) and the ranked list of those stocks. Answers 'how many A-shares hit limit up today', 'top limit-up stocks', 'which stocks 涨停'. Each stock includes code, name, price, change %, turnover (成交额), float market cap, turnover rate (换手率), consecutive-board count (连板数 lbc), first/last seal time, seal fund (封板资金), and industry (行业). Source: Eastmoney (keyless).

• ashares_earnings_forecast222 tok

  Company-issued earnings guidance (业绩预告) for a Chinese A-share stock — the company's own forecast announcements with predicted profit range (lower/upper bounds in CNY), year-over-year change %, forecast type (略增/预增/扭亏 etc.), and the company's stated reason. Answers '业绩预测', '业绩预告', 'earnings forecast/guidance for a China A-share company like 华工科技 000988'. Most recent reports first. Source: Eastmoney datacenter (keyless).

• ashares_quote218 tok

  Real-time quote(s) for Chinese A-share stocks by 6-digit code (Shanghai 6xxxxx, Shenzhen 0xxxxx/3xxxxx, STAR 688xxx, ChiNext 30xxxx, Beijing 8xxxxx/4xxxxx). Returns name, current price, change and change %, open, previous close, day high/low, volume, turnover, and the quote timestamp. Accepts one code or a comma-separated list. Example: ashares_quote({ symbols: "600519,000858" }) for Kweichow Moutai and Wuliangye. Source: Sina (keyless).

• pipeworx_trending206 tok

  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 before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

• generate_llms_txt198 tok

  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 site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

• recall179 tok

  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 IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

• ashares_market_snapshot178 tok

  Overall snapshot of the Chinese A-share market — the headline index levels (Shanghai Composite, Shenzhen Component, ChiNext, STAR 50, CSI 300) with change %, day range and turnover, plus market-wide breadth as a sentiment gauge: how many stocks hit limit-up (涨停) and limit-down (跌停) today. Answers 'how is the China A-share market doing', 'Shanghai Composite today', 'A-share market snapshot at close', 'how did Chinese stocks close', '涨跌停家数', 'limit-up limit-down counts today'. For the ranked pools use ashares_limit_up / ashares_limit_down; for market-wide margin financing leverage use ashares_ma

• ashares_analyst_consensus151 tok

  Analyst consensus estimates (盈利预测) for a Chinese A-share stock — per forecast year: consensus EPS, P/E at current price, net profit attributable to parent (归母净利润), and total operating revenue, in CNY. Answers "analyst estimates / 盈利预测 / forecast EPS for a China A-share like 000988". Source: Eastmoney datacenter (keyless).

• forget133 tok

  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.

• list_subscriptions88 tok

  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.

• unsubscribe78 tok

  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.

Security signals

97/100 — no known issues found as of 2026-10-19, from the checks below. This is not a guarantee of safety; review what a server can do before connecting it.

Scan it yourself before installing with vectra-guard, the open-source agent security CLI. Scoring rules

Freshness

Active — last maintenance signal today. The newest of the signals below sets the band.

1. Last commit (default branch)

   2026-10-18 · today · GitHub

2. Latest release

   no data · GitHub

3. Package published

   no data · npm/PyPI

4. Registry entry updated

   2026-10-18 · today · official registry · v0.1.11

How it compares in Finance & Fintech

Against the most-starred finance & fintech servers we index. Token cost is per model turn, measured from each server's live tool list.