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PopNx MCPที่รวม MCP สำหรับคนใช้ AI · อธิบายเป็นภาษาคน

Veterinary Fda

โดย pipeworx-ioรุ่น 0.2.1i★ –iบนเครื่องหรือคลาวด์
ชื่อใน registryio.github.pipeworx-io/veterinary-fda

ติดตั้ง

ภาพรวม

คำอธิบายจากผู้ทำ (ภาษาอังกฤษตามต้นฉบับ)

Veterinary FDA MCP — openFDA Animal & Veterinary adverse events, pet/animal food & drug recalls…

สามเสาของ PopNx MCP

สามเรื่องนี้ไม่รวมเป็นคะแนนเดียว เพราะความเห็น การวัด และความนิยม เป็นคนละเรื่องกัน

ใช้ทำอะไรได้

ตัวนี้ยังไม่ได้เรียบเรียงเป็นภาษาไทย ด้านล่างคือข้อเท็จจริงที่เราอ่านจาก registry

  • การเชื่อมต่อ: บนเครื่องหรือคลาวด์
  • ช่องทาง (transport): stdio, Streamable HTTP
  • หมวด: คลินิกและสุขภาพ
  • ต้องใส่ค่าเหล่านี้: PIPEWORX_API_KEY

ติดตั้ง

เลือกโปรแกรม AI ที่คุณใช้ แล้วคัดลอกค่าตั้งไปวาง

ก่อนติดตั้ง

ค่าที่ติดป้ายความลับคือกุญแจของบัญชีคุณ อย่าส่งให้ใคร และอย่าวางในแชต

ต้องเตรียมก่อน

  • รันบนคลาวด์ไม่ต้องลงโปรแกรมเพิ่ม ต่อผ่านอินเทอร์เน็ตได้เลย
  • npmติดตั้ง Node.js (มีคำสั่ง npx) ในเครื่อง

คุณใช้แอปไหน

เลือกแอปด้านบน เราจำไว้ให้ ครั้งหน้าปุ่มจะขึ้นว่า “ติดตั้งลง …”

ใช้ได้ทั้ง Claude บนเว็บ แอปคอมพิวเตอร์ และมือถือ:

  1. เปิด Settings → Connectors
  2. กด Add custom connector
  3. วางที่อยู่ด้านล่างแล้วกด Add
  4. ถ้าให้ล็อกอิน ให้ล็อกอินกับผู้ทำ
SettingsConnectors1+ Add2https://…3
https://gateway.pipeworx.io/veterinary-fda/mcp

หรือรันในเครื่องคุณ

เปิด Claude Desktop → Settings → Developer → Edit Config แล้ววางค่านี้ในไฟล์ claude_desktop_config.json

{
  "mcpServers": {
    "veterinary-fda": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-veterinary-fda"
      ],
      "env": {
        "PIPEWORX_API_KEY": "ใส่ค่าของคุณ"
      }
    }
  }
}

พิมพ์คำสั่งนี้ใน Terminal

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

หรือรันในเครื่องคุณ

claude mcp add veterinary-fda --env PIPEWORX_API_KEY='ใส่ค่าของคุณ' -- npx -y @pipeworx/mcp-veterinary-fda

เติมค่าที่เว้นว่างไว้ก่อนรัน

เปิดใน Cursor

หรือคัดลอกค่าตั้งเอง

วางในไฟล์ .cursor/mcp.json ของโปรเจกต์ หรือ ~/.cursor/mcp.json

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

หรือรันในเครื่องคุณ

เปิดใน Cursor

หรือคัดลอกค่าตั้งเอง

วางในไฟล์ .cursor/mcp.json ของโปรเจกต์ หรือ ~/.cursor/mcp.json

{
  "mcpServers": {
    "veterinary-fda": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-veterinary-fda"
      ],
      "env": {
        "PIPEWORX_API_KEY": "ใส่ค่าของคุณ"
      }
    }
  }
}

เบราว์เซอร์จะถามก่อนเปิดแอป จากนั้นแอปแสดงค่าตั้งให้ตรวจแล้วกดยืนยัน ช่อง key เว้นว่างไว้ให้คุณใส่เอง

เปิดใน VS Code

หรือคัดลอกค่าตั้งเอง

วางในไฟล์ .vscode/mcp.json ของโปรเจกต์

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

หรือรันในเครื่องคุณ

เปิดใน VS Code

หรือคัดลอกค่าตั้งเอง

วางในไฟล์ .vscode/mcp.json ของโปรเจกต์

{
  "servers": {
    "veterinary-fda": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-veterinary-fda"
      ],
      "env": {
        "PIPEWORX_API_KEY": "ใส่ค่าของคุณ"
      }
    }
  }
}

เบราว์เซอร์จะถามก่อนเปิดแอป จากนั้นแอปแสดงค่าตั้งให้ตรวจแล้วกดยืนยัน ช่อง key เว้นว่างไว้ให้คุณใส่เอง

ChatGPT ต่อได้เฉพาะ server ที่อยู่บนอินเทอร์เน็ต:

  1. เปิด ChatGPT บนเว็บ → Settings → Connectors (Apps)
  2. กด Create หรือ Add (บางแพ็กเกจต้องเปิด Developer mode ใน Advanced ก่อน)
  3. วางที่อยู่ด้านล่าง ตั้งชื่อ แล้วบันทึก
  4. ถ้าให้ล็อกอิน ให้ล็อกอินกับผู้ทำ
SettingsConnectors1+ Create2https://…3
https://gateway.pipeworx.io/veterinary-fda/mcp

ชื่อเมนูอาจต่างกันเล็กน้อยตามแพ็กเกจและรุ่นของแอป

ตัวเลือกเก็บในคุกกี้บนเครื่องนี้ ไม่ต้องมีบัญชี

ค่าที่ต้องใส่เอง

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

ค่าตั้งนี้สร้างจากข้อมูลใน registry ของผู้ทำ ถ้าไม่ตรงกับ README ให้เชื่อ README

ทำอะไรได้บ้าง

ชื่อและคำอธิบายเครื่องมือตามที่ server ตอบมาเมื่อ 7 พ.ย. 2569 ผู้ทำเป็นคนเขียน ไม่ใช่เรา แสดงเป็นข้อความล้วน

  • 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 7,181 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 7,181 across 1864 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 1864 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.

  • vet_adverse_events

    Search FDA (openFDA Center for Veterinary Medicine) reports of side effects/adverse events in animals given a veterinary drug or parasite preventive — dogs, cats, horses, cattle. Answers "what side effects has Bravecto caused in dogs", "adverse events for fluralaner in cats", "ha

  • vet_adverse_event_summary

    Count FDA (openFDA Center for Veterinary Medicine) animal adverse-event reports for a drug/species pair, broken down by reaction (top 20), outcome (recovered/died/euthanized/ongoing), and by year. Answers "how many adverse events for Bravecto in dogs", "what are the most common s

  • vet_product_recalls

    Search FDA Enforcement Report recalls for a pet food, animal food, or veterinary drug product or manufacturer. Answers "has Blue Buffalo dog food been recalled", "dog food recalls", "veterinary drug recalls". Source: openFDA food/enforcement.json and drug/enforcement.json — there

  • animal_drug_search

    Search FDA-APPROVED animal drugs — the FDA Green Book (Animal Drugs @ FDA), the official list of approved new animal drug applications. Answers "what FDA-approved drugs contain carprofen", "what drugs are approved for dogs", "what is approved for osteoarthritis in dogs", "what an

  • animal_drug_detail

    Full FDA Green Book detail for one approved animal drug application, by application_id (from animal_drug_search). Returns the sponsor, every marketed product under the application with its species, dose form, route, strength and approved dosage/indications, plus the FOI approval

  • animal_drug_monthly_updates

    List the FDA Green Book monthly update publications — the monthly PDF index of what changed in the approved-animal-drug list (new approvals, withdrawals, sponsor/labelling changes). Answers "what animal drug approvals changed recently", "give me the latest Green Book update". Ret

  • pet_services_near

    Find veterinary clinics, emergency vets, dog parks, pet stores, or animal shelters near a place, via OpenStreetMap. Answers "emergency vet near Austin TX", "dog parks near me", "pet stores in Denver", "animal shelters near Chicago". Pass a place name (city, address, or landmark)

ผลตรวจเบื้องต้นi

เราตรวจจากข้อมูลที่ใครก็เปิดดูได้ ยังไม่ได้อ่านโค้ด ข้อที่ไม่เกี่ยวกับตัวนี้ไม่นับในตัวหาร · ตรวจเมื่อ 9 พ.ย. 2569

  • ✓ ผ่าน

    ตัวตนผู้ทำตรงกับ repo

    ชื่อใน registry ยืนยันด้วยบัญชี GitHub pipeworx-io ซึ่งเป็นเจ้าของ repo

  • … ยังไม่ตรวจ

    ยังมีคนดูแล

    ยังไม่ได้อ่านข้อมูล repo จาก GitHub

  • … ยังไม่ตรวจ

    มีสัญญาอนุญาต (license)

    ยังไม่ได้อ่านข้อมูล repo จาก GitHub

  • ✓ ผ่าน

    endpoint ตอบ

    ตอบกลับใน 113 ms (HTTP 200)

  • – ไม่เกี่ยว

    ล็อกอินแบบ OAuth

    ไม่ต้องล็อกอิน

  • ✓ ผ่าน

    คำอธิบายเครื่องมือไม่มีคำสั่งแอบแฝง

    อ่านคำอธิบายเครื่องมือ 51 ตัวแล้ว ไม่พบคำสั่งแอบแฝงถึง AI

เทียบกับตัวอื่นในหมวด คลินิกและสุขภาพi

  • ดาวมากกว่า 0% ของอีก 1034 ตัวในหมวดนี้
  • ส่งรุ่นใหม่เข้า registry ล่าสุดกว่า 89% ของอีก 1034 ตัวในหมวดนี้
  • ผลตรวจเบื้องต้นดีกว่าหรือเท่ากับ 100% ของอีก 1034 ตัวในหมวดนี้

เทียบกับทุก server ที่ยังใช้งานในหมวดนี้ทั้งทะเบียน ดาวนับเฉพาะเมื่อผู้ลงทะเบียนเป็นเจ้าของ repo

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Veterinary Fda ปลอดภัยไหม?

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Veterinary FDA — Approved Animal Drugs, Adverse Events, Pet Product Recalls, Pet Services

Approved animal drugs, side-effect reports, product recalls, and nearby pet services for the animal/veterinary side of the world — dogs, cats, horses, cattle. Three sources: the FDA Green Book (Animal Drugs @ FDA — the official list of approved new animal drug applications, keyless), openFDA's Center for Veterinary Medicine adverse-event database (985,705 Dog / 148,091 Cat reports as of 2026-09-04, keyless) and OpenStreetMap (vets, dog parks, pet stores, shelters). No pack in the MCP ecosystem serves the animal adverse-event data before this one — openfda never touches it, and openfda's drug endpoints are human-drug only, so the Green Book side is likewise unserved.

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

Together these answer one question sequence end to end: what is approved for this animal (Green Book) → what has it done to animals (adverse events) → has it been recalled (enforcement reports).

Why this matters for AI agents

"Is this side effect from my dog's flea medication normal?" and "has this dog food been recalled?" are questions people actually ask, and until now nothing answered them from primary-source FDA data.

Common flows:

  • What is approved. "What FDA-approved drugs contain carprofen?" → animal_drug_search({query: "carprofen"}) → 24 approved applications with sponsor, status and approval date. "What is approved for dogs?" → animal_drug_search({species: "Dogs"}) → 694.
  • What an approval actually covers. "What was Rimadyl approved for?" → animal_drug_search({brand_name: "Rimadyl"}) → applicationId 1024 → animal_drug_detail({application_id: 1024}) → FDA's own FOI approval summaries, per-species dosage and indications, and the labelling PDFs.
  • Side effects for a drug. "What side effects have been reported for Bravecto in dogs?" → vet_adverse_events({drug: "Bravecto", species: "Dog"}) → individual reports with reactions, outcome, dose.
  • Aggregate safety picture. "How common are seizures with fluralaner in dogs?" → vet_adverse_event_summary({active_ingredient: "fluralaner", species: "Dog"}) → counts by reaction, outcome, year.
  • Recalls. "Has Blue Buffalo dog food been recalled?" → vet_product_recalls({product: "Blue Buffalo"}).
  • Nearby services. "Emergency vet near Austin TX" → pet_services_near({place: "Austin TX", kind: "emergency_vet"}).

Auth

Public, keyless throughout.

The Green Book tools (animal_drug_*) call animaldrugsatfda.fda.gov directly — the Animal Drugs @ FDA SPA's own backing API. It is a different upstream from openFDA: no key applies to it, PLATFORM_DATAGOV_KEY is not sent, and _apiKey does nothing there.

api.fda.gov runs on api-umbrella (the same api.data.gov stack as openfda), so the gateway injects PLATFORM_DATAGOV_KEY (workers/gateway/src/index.ts, MCP_PACKS entry for veterinary-fda) to raise the anonymous 40 req/min · 1,000/day cap to 120,000/day — the same platform key already backing 15 other federal packs (openfda, fac, nasa, govinfo, regulations-gov, etc.). Bring your own key with _apiKey to draw on your own quota instead. A rejected/revoked platform key falls back to anonymous rather than failing the call.

Nominatim (geocoding) and Overpass (pet_services_near) are separately keyless, public OSM infrastructure.

Tools

ToolWhat it answers
animal_drug_searchWhich FDA-approved animal drugs match an ingredient, species, sponsor, brand, indication or status
animal_drug_detailEverything on one approved application: products, species, dosage, indications, FOI approval summaries, labelling PDFs
animal_drug_monthly_updatesThe Green Book monthly change PDFs (new approvals, withdrawals, labelling changes)
vet_adverse_eventsIndividual animal adverse-event reports for a drug/species
vet_adverse_event_summaryCounts by reaction, outcome, and year for a drug/species pair
vet_product_recallsFDA Enforcement Report recalls for a pet food or veterinary drug product
pet_services_nearNearby vets, emergency vets, dog parks, pet stores, shelters (OpenStreetMap)

Data traps (measured 2026-09-04, load-bearing for how these tools are built)

  • `drug.brand_name` is near-useless. In the adverse-event endpoint it almost always holds the registrant's internal short code (e.g. "MSK" for Merck Animal Health), not the marketed product name. Searching drug.brand_name for "Bravecto", "Frontline", "Heartgard", or "Simparica" returns zero matches for all four. The actual product name is recorded inside drug.active_ingredients.name instead (mixed in with real chemical ingredient names — messy upstream data). vet_adverse_events/vet_adverse_event_summary try brand_name first, then fall back to active_ingredients.name automatically and report resolved_from so the caller knows which field actually matched.
  • `count= .exact` is per-field, not universal. count=reaction.veddra_term_name.exact and count=outcome.medical_status.exact both work; count=animal.species.exact and count=original_receive_date.exact both return "Nothing to count". vet_adverse_event_summary's by-year table works around the date-field limitation by requesting count=original_receive_date (which buckets per exact DAY, not year) and aggregating client-side.
  • Bare multi-word terms are an OR, not an AND, and openFDA does not rank by relevance. search=product_description:dog+food (no quotes) matches ~29,000 records — mostly hot dogs and corn dogs, because "dog" OR "food" hits practically the whole food-recall corpus, returned in whatever order openFDA feels like. Only the phrase-quoted form, search=product_description:"dog food", returns the real 2 pet-food matches (Freshpet). vet_product_recalls always phrase-quotes multi-word product terms for this reason, and never falls back to a loose OR match — for a recall/safety answer, a false-positive (a "Blue Bell" ice-cream recall surfacing for a "Blue Buffalo" query) is worse than an honest zero, so unlike this pack's own adverse-event fallback and unlike openfda's free-text fallback, there is no loose-match tier here.
  • Pet-food recall coverage in openFDA is genuinely incomplete, not a search-syntax problem. There is no dedicated animal/pet-food recall endpoint — vet_product_recalls reuses food/enforcement.json and drug/enforcement.json, the same feeds openfda uses for human food/drugs. Several well-known, FDA-confirmed pet-food recalls are absent from this dataset entirely, verified by exhausting every plausible product/firm-name spelling (including the exact names from FDA's own press releases) rather than by a single failed query: Blue Buffalo's 2010/2017/2022 recalls and the 2021 Sportmix aflatoxin recall (~70 dog deaths, a formal FDA Class I recall) all return zero records under any search. FDA's own recall-history page (fda.gov/animal-veterinary/safety-health/recalls-withdrawals) is not the same backing data as openFDA's Enforcement Reports API, and openFDA does not mirror it. vet_product_recalls returns total: 0 plus an explicit note in that case — treat a zero as "no Enforcement Report record found," never as "never recalled."
Green Book traps (measured 2026-09-05)
  • `/advancedSearch` silently DISCARDS `basicSearchTerm`. This is the dangerous one: it is not an error, it is a 200 with confidently wrong rows. {basicSearchTerm: "carprofen", speciesName: "Cats"} returns 338 results led by Pentobarbital Sodium — the entire Cats set, with the free-text term dropped on the floor — instead of the carprofen∩cats intersection. Nothing in the response says the term was ignored. animal_drug_search therefore never forwards free text to /advancedSearch: when query arrives alongside a structured filter it is resolved into activeIngredientName (then proprietaryName if that is empty) and the response reports which, via query_resolved_to.
  • `totalPages` is always `1`, whatever the real count. 694 dog rows at pageSize: 2 still reports totalPages: 1. Trusting it truncates every large result set to one page. animal_drug_search recomputes it from totalElements / page_size.
  • `publishDate` and `voluntaryWithdrawalDate` are epoch MILLISECONDS, not seconds — read as seconds they land in 1970. Rendered as YYYY-MM-DD.
  • `applicationStatusValue` is always `null` in list rows. Only applicationStatusCode (a bare A/W/G/R) is populated, so a pass-through renders every result status-unknown. Decoded against /codes/application_status (memoised per isolate, with a hardcoded fallback table so a blip on a 4-row lookup can never degrade a status to a bare letter).
  • `proprietaryName` can carry embedded newlines — "Carprofen Caplets\nNovox® Caplets" is one row marketing two names. Returned both as proprietary_names[] and as a first-name proprietary_name.
  • `/retrievePreviewBean/{id}` answers an unknown id with a 500 and an HTML Weblogic error page, which naively classifies as upstream_down — reporting FDA as down when the caller simply passed a bad id (or passed the NADA number where the applicationId was wanted). animal_drug_detail checks /preview/{id} first, which answers the same id with a clean 200 and applicationId: null, and raises a bad-argument error naming the distinction.
  • `/retrievePreviewBean`'s own `application` block is unusable — applicationNumber: 0, type and status null, even for a valid id. The rich content is real; the identity fields have to come from /preview/{id}. Neither endpoint alone is sufficient.
  • `/specandstatus/{id}` is NOT wired, deliberately. specandstatus/1024 returns a chlortetracycline VFD record unrelated to application 1024 (Rimadyl) — it appears to key on a different id space. Left out rather than shipped as a plausible-looking wrong answer.
  • Document downloads are on three different path shapes, all verified 200 application/pdf: /document/downloadFoi/{foiId}, /document/downloadLabeling/{labelingId}, and — not under /document/ at all — /monthlyUpdates/downloadMonthlyUpdate/{greenbookMonthlyUpdatesId}.
Other traps
  • `emergency=yes` is under-tagged in OpenStreetMap. Many real emergency vet clinics simply aren't tagged that way. pet_services_near({kind: "emergency_vet"}) falls back to all nearby veterinary clinics (with a note) rather than returning a false "none found" when the emergency-tagged search comes up empty.

Example questions this pack should answer

  • "What FDA-approved drugs contain carprofen?"
  • "What drugs are approved for dogs?"
  • "What was Rimadyl approved for, and when?"
  • "Which animal drugs has Zoetis had withdrawn?"
  • "What side effects have been reported for Bravecto in dogs?"
  • "How many adverse events for fluralaner in cats, and what happened to them?"
  • "Has Blue Buffalo dog food been recalled?"
  • "Emergency vet near Austin TX"
  • "Dog parks near Portland OR"

Quick Start

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

{

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

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/veterinary-fda/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 i

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