The enum values every other tool accepts. Call this before guessing a country code or category id: invalid parameters fail, and failed calls still count against the daily quota.
Connector
439,581 tools. Updated 2026-08-10 19:15
"ADP" matching MCP tools:
- EXACT delivery/freight cost to an Australian postcode for a product configuration — the SAME live rates the vividads.com.au checkout shows (carrier + shipping-rules apps; incl. GST). Use whenever the customer asks what shipping/delivery costs. Resolve the product + size/options + quantity first (vivid_product / vivid_price), then call with the postcode (suburb improves accuracy). Never estimate freight yourself. Always also mention free pickup from Derrimut VIC 3026.Connector
- Create a Shopify DRAFT order for Vivid Ads team review — NOT a final/placed order, and NEVER charges a card. Before calling, summarise the exact product, quantity, configuration, verified price (if available), customer details, and delivery/pickup, then get the customer's explicit confirmation. Call WITHOUT confirm to get a Review summary; confirm:true only AFTER they confirm. Do NOT auto-retry after a timeout without first checking whether a draft was already created. Payment is a secure invoice/pay-link from the team; production waits on proof approval.Connector
- Estimate WHEN an order would arrive at an Australian postcode — the question behind 'can I get it by Friday?'. Works the timeline through honestly: production starts only after the customer approves their digital proof (3pm AEST cutoff), then production time for that product, then transit for their postcode (metro/regional/remote bands). Returns an arrival WINDOW plus the assumptions it made. This is an ESTIMATE, never a guarantee — always relay the caveat, and for a hard deadline tell them to call 1300 721 614. Free pickup from Derrimut VIC is usually the fastest option.Connector
- 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 1411 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 5,434 tools IN PARALLEL, and returns a findings packet: verbatim evidence + confidence + source + fetched_at + a stable pipeworx:// citation per finding, with explicit gaps[] for facets the data couldn't answer (never invented). Best for broad/multi-part questions over structured data ("compare X and Y's regulatory + financial exposure", "research the filings + market picture for ACME"). For a single lookup use ask_pipeworx (one LLM call, not many). For BREAKING or colloquial CURRENT-NEWS / "what's the world saying about X" topics, prefer ask_pipeworx — it routes to live news APIs and the *-news-feeds packs; deep_research returns mostly empty gaps[] when the topic isn't in the structured catalog. Second-hop iteration: depth:"standard" re-angles unanswered gaps (gap recovery); depth:"thorough" additionally chases the best leads from the first pass — so multi-step questions resolve in one call. Every finding carries a `hop` field and a citation_uri (record-level pipeworx:// when the source emits one, else source-level). "standard" and "thorough" also return contradictions[] flagging findings that disagree. Large records are semantically excerpted to the passages relevant to each facet (not head-truncated), so answers deep in a long filing/series aren't missed. Expect 15-60s (thorough with its follow-up + contradiction pass: up to ~90s).Connector
- "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" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.Connector
Matching MCP Servers
- MIT
- AlicenseAqualityAmaintenancePrediction-market quant tools — expected value, Kelly sizing, Bayesian updating, odds conversion, base-rate gaps, cross-platform arbitrage, and mispricing edge — for Kalshi and Polymarket contracts, exposed as a remote MCP server.46MIT
Matching MCP Connectors
Google Ads reporting and campaign management for Claude and other MCP clients. Ask questions in plain language and get answers from live account data, then build and change campaigns in the same conversation. Everything Adplane creates starts paused; nothing spends until you explicitly turn it on. One-click OAuth, no developer token, no setup. 14 day free trial, no card required.
Scrape and extract application reviews from both the Google Play Store and the Apple App Store.
- "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 changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.Connector
- 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 fall under deps.dev:version directly. Partial failures degrade gracefully — bundlephobia's first measurement on a new version can take 5-30s; sources_failed will list it if it times out, the rest still returns.Connector
- List every regulator and feed being monitored, with when each was last collected successfully and how fresh the data is. Use to answer what this connector covers, or to check whether a jurisdiction is being watched before relying on an absence of results.Connector
- SUBORDINATE / supplementary path — does NOT close an acceptance criterion. Adds a text-only note (URL to a permanent external source like CI run / GitHub commit / issue, or a description of a manual scenario) as extra context alongside the real proof. The path that actually covers an AC and closes a Grove goal is goal-attach-evidence — use that one for every criterion. Plain evidence NEVER counts toward AC coverage no matter how many you add; it is only a complement to an attached file. NOT for bytes — screenshots, logs, API responses, exports all go through goal-attach-evidence. NOT for filesystem paths — those need goal-attach-evidence with the actual file.Connector
- Search the Vivid Ads catalogue by product name, category, or intended use (e.g. 'corflute', 'pull up banner', 'expo', 'shopfront'). Returns matching products grounded in Vivid's own Shopify collections, so it also surfaces same-range, same-purpose alternatives — products flagged `sameRange:true` come from the top match's curated collection (returned as `collection`). ALWAYS mention these to the customer (e.g. 'we have two Pull Up Banner options, and Fabric Banner Stands do the same job'). Treat a from-price as INDICATIVE only — use vivid_product for options then vivid_price for the exact configuration.Connector
- Calculate the current price for an EXACT product configuration. Pass `options` with the full selected configuration (use vivid_product first), or just `size` for simple products. Some products take several seconds or need manual confirmation. Before calling, briefly tell the customer you're checking the live price. Never estimate or reuse another configuration's price. When presenting, repeat the exact product title, quantity, dimensions, and price-affecting options.Connector
- Attach a customer-provided artwork file or link to a signage order (a successful attach does NOT mean it is print-ready — the team still checks it). EASIEST: pass a shareable link to the file (sourceUrl) — Google Drive, Dropbox, WeTransfer, etc. — and use the returned fileUrl in vivid_place_order's artwork {mode:'upload_file', fileUrl}. For a large file with no link yet, set requestUpload:true to get a direct-upload URL (the file uploads straight to storage — handles 50–200MB+), then call again with the returned fileId to get the share link.Connector
- 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 5,434 tools across 1411 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 factual question about real-world entities, events, or numbers — even if web search could also answer it. Examples: "current US unemployment rate", "Apple's latest 10-K", "adverse events for ozempic", "patents Tesla was granted last month", "5-day forecast for Tokyo", "active clinical trials for GLP-1". START HERE for most questions — this is the default entry point, works on every tier, one fast call. Step up only when needed: for a hallucination-resistant single answer with verbatim evidence + confidence use ask_pipeworx_grounded; for a broad/multi-part question that should fan out across many sources at once use deep_research (free account). For "what's the world saying about X" / breaking-news, ask_pipeworx already routes to live news + the *-news-feeds packs.Connector
- 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/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.Connector
- 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 auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).Connector
- 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.Connector
- 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, or pass `topic` (e.g. "finance", "pharma", "betting") to focus. Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools (ask_pipeworx, entity_profile, compare_entities, etc.).Connector
- ดึงข้อพระคัมภีร์ตามอ้างอิง. ระบุได้ทั้งข้อเดียว (verseFrom เท่านั้น), ช่วงข้อ (verseFrom+verseTo), หรือทั้งบท (ไม่ระบุ verse). ใช้ชื่อหนังสือภาษาอังกฤษ เช่น John, Genesis. ผลลัพธ์มี field `url` เป็นลิงก์เปิดข้อนั้นในแอป — แนะนำให้แนบลิงก์นี้ให้ผู้ใช้ด้วยConnector
- Check the LIVE status of an order — real production stage (from the Enfocus Switch print workflow), ready-for-pickup, or shipped with carrier + tracking (from StarShipit, authoritative). Look up a real order by number (e.g. #119581) or a quote/draft by number (e.g. #D776755). Requires the customer's email, which must match the order. Use for 'where is my order', 'track order 12345', 'is my order ready'. Shipped/delivered from StarShipit is final; otherwise the live Switch stage is returned.Connector