Openfda vs Taiwan Health MCP

A side-by-side look at the Openfda and Taiwan Health MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Openfda logoOpenfdaBiology & Bioinformatics · Local subprocess (stdio)OpenFDA MCP — wraps the openFDA API (free, no auth required)61GoodAuth: not declaredTaiwan Health MCP logoTaiwan Health MCPBiology & Bioinformatics讓 AI agent 讀懂台灣醫療:63 個 MCP 工具,涵蓋 FHIR R4 / TW Core 驗證、ICD-10、SNOMED CT、LOINC、TFDA 藥品與臨床計算器。MCP server for Taiwan healthcare data.60GoodAuth: no auth required

Verdict: choose Openfda for biology & bioinformatics work as a local process; choose Taiwan Health MCP for biology & bioinformatics. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Openfda logoChoose Openfda when

  • You need dedicated capabilities in the Biology & Bioinformatics domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like fda_drug_events, fda_drug_approvals, fda_applications_by_cik.
Explore Openfda

Taiwan Health MCP logoChoose Taiwan Health MCP when

  • You need dedicated capabilities in the Biology & Bioinformatics domain.
  • Its auth model fits you: No auth required.
  • You have the keys it needs: POSTGRES_PASSWORD.
  • You want tools like health_check, calculate_chads2_vasc, calculate_wells_pe.
Explore Taiwan Health MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecOpenfda logoOpenfdaTaiwan Health MCP logoTaiwan Health MCP
CategoryBiology & BioinformaticsBiology & Bioinformatics
Quality signal61/100 · Good60/100 · Good
Install commandConfirmedNot confirmed yet
TransportLocal subprocess (stdio)—
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsNone listedPOSTGRES_PASSWORD
Verified ownerCommunity listingCommunity listing
GitHub stars0167
Directory activity 5 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools1859

Tools & capabilities

Openfda tools 18

  • fda_drug_eventsSearch FAERS adverse event reports by drug name, MedDRA reaction term, or date range. Returns report counts, reaction types, seriousness levels, and dates. Natural multi-word reaction phrasing is retried against MedDRA preferred-term word order before an empty result is reported. FAERS reports do not establish incidence or causality.
  • fda_drug_approvalsFind FDA-approved drugs by brand name, active ingredient, or application number. To find generic versions of a drug, search by active ingredient using products.active_ingredients.name (NOT openfda.generic_name — that field only works in the label endpoint). IMPORTANT: drug names in the FDA database are stored in UPPERCASE — always pass ingredient and brand names in uppercase (e.g. "APIXABAN" not "apixaban") or you will get 0 results. Returns approval status, sponsor, application number (ANDA = generic, NDA = brand), and application details. There is NO queryable "application_type" field — never add application_type:"ANDA" (it returns 0 results). To limit to generics, search by active ingredient and read the ANDA/NDA prefix on application_number in the results. This endpoint has NO indication/disease field — for "drugs approved to treat <condition>" use fda_drug_labels (which searches indications_and_usage); an indication phrase passed here is silently ignored and matches by drug name only. The response `total` can exceed the 100-row cap on a single page — use `skip` to page past it, and `sort` to get genuinely-newest-first ordering ("most recently approved" is not the default order).
  • fda_applications_by_cikFind ALL Drugs@FDA applications for a company by SEC CIK, ticker, or company name — without needing to know its FDA sponsor_name spelling. Drugs@FDA has no company-ID field: sponsor_name is free text, and one company routinely files under several forms (e.g. Eli Lilly appears as "LILLY", "ELI LILLY AND CO", "ELI LILLY CO", "LILLY RES LABS" — its own SEC-registered name "ELI LILLY AND COMPANY" matches ZERO of them in fda_drug_approvals). This resolves the company via SEC (same identity as the edgar pack), derives its most distinctive name token, and searches Drugs@FDA for every sponsor_name variant containing it in one call — returning the combined application list plus a `sponsor_name_forms` breakdown showing exactly which spellings were found. Use this INSTEAD of guessing sponsor_name strings for fda_drug_approvals when you have (or can resolve) the company's CIK/ticker. For a subsidiary or operating name that isn't itself SEC-listed, resolve to the parent first with edgar's sponsor_to_filer, then pass that CIK here.
  • fda_novel_approvalsMost recent novel drug approvals — the newest drugs approved by the FDA. Use for "what is the most recent novel drug the FDA approved", "latest FDA drug approvals", "recently approved new drugs or biologics this month/year". Returns original NDA/BLA approvals (generics excluded by default) sorted newest-first, with approval date, brand name, active ingredients, sponsor, and application number. Not for label text (fda_drug_labels) or searching a specific known drug (fda_drug_approvals).
  • fda_drug_labelsGet FDA drug labeling (SPL) by drug name OR by INDICATION. This is the tool for "what drugs are approved to treat <condition>" — it searches the indications_and_usage text, which the drugsfda approvals endpoint does NOT carry. Query by brand/generic name (openfda.brand_name:"HUMIRA"), or by indicated use (indications_and_usage:"rheumatoid arthritis"). Returns indications, boxed/other warnings, dosage, contraindications, and adverse reactions (each text field capped, set_id preserved for out-of-band full-label fetch). Note: FDA label publication trails approval by weeks, so a just-approved drug may not have a label yet.
  • fda_drug_recallsSearch FDA drug recalls and enforcement actions by drug name or reason — returns recall classification, date, reason and enforcement status. A multi-word search is tried as ALL terms first and falls back to ANY term when nothing matches all of them; the response says which happened in match_mode, so a loose match is never mistaken for a precise one. Recall reasons are free narrative text and often name the contaminant rather than the harm ("NDMA impurity", not "cancer"), so search the substance when a symptom finds nothing.
  • fda_drug_shortagesSearch the FDA Drug Shortages database by generic or brand name, manufacturer, status, or an advanced openFDA query. Returns national supply records and available FDA dates; reason and other details are sparse in the upstream data. This is not local pharmacy inventory or medical advice.
  • fda_shortage_changesFDA drug-shortage records ordered by update_date, newest first, then restricted to the requested look-back window. Use for recently updated, discontinued, or resolved national shortages; this does not imply availability at any specific pharmacy or hospital. Most rows in any window are "Reverified" (FDA re-checking a status it already had) — pass update_type to filter to the change kinds that actually matter, e.g. New/Discontinued/To Be Discontinued/Resolved, and exclude Reverified.
  • fda_complete_response_lettersSearch FDA-disclosed Complete Response Letters for drug and biologic applications. Defaults to letter_type "COMPLETE RESPONSE"; optionally include other letter types in the same dataset. Returns the application’s current approval_status, letter metadata, an excerpt, and the official document URL.
  • fda_crl_detailRetrieve one FDA Complete Response Letter by application number and optionally letter date. Returns the FDA-disclosed letter text and document URL. Confidential commercial and trade-secret material may be redacted by FDA.
  • fda_food_recallsSearch FDA FOOD recall / enforcement reports (openFDA /food/enforcement) — product recalls, reasons, classification, recalling firm, distribution, and status. Use for food-safety / recall-history questions (distinct from fda_drug_recalls which covers drugs).
  • fda_event_countsAggregate adverse events by reaction type, patient age, or outcome. Returns top reactions for a drug and event trends over time.
  • +6 more on the listing page

Taiwan Health MCP tools 59

  • health_checkReturn runtime readiness of the MCP server and every module-backed service. Call this first before any workflow to confirm the required services are online.
  • calculate_chads2_vascCHA₂DS₂-VASc stroke-risk score for non-valvular atrial fibrillation (0–9). Accepts raw age/sex and computes brackets internally; also returns the 2024 ESC CHA₂DS₂-VA adjusted score (sex removed). Decision support only.
  • calculate_wells_peWells criteria for pulmonary embolism (two-tier + three-tier risk). Binary findings are booleans; heart_rate_bpm is raw and the >100 criterion is computed.
  • calculate_wells_dvtWells criteria for deep-vein thrombosis (two-tier + three-tier risk). All items are binary clinical findings.
  • calculate_das28DAS28 rheumatoid arthritis disease activity. formula=esr needs esr (mm/h); formula=crp needs crp (mg/L). Joint counts are 28-joint (0–28); global_health is a 0–100 VAS (not the 0–10 scale CDAI uses). Returns score and activity band (remission/low/moderate/high).
  • calculate_cdaiCDAI (lab-free) rheumatoid arthritis disease activity (0–76). Tender and swollen counts use the 28-joint assessment (0–28 each); patient and provider global assessments are 0–10.
  • calculate_bmiBody mass index with Taiwan (Asian) cutoffs: <18.5 underweight, 18.5–23.9 normal, 24–26.9 overweight, ≥27 obese. Height in cm (not metres), weight in kg.
  • calculate_egfrEstimated glomerular filtration rate using the CKD-EPI 2021 creatinine equation (race-free), adults ≥18 only. serum_creatinine_mgdl in mg/dL (convert µmol/L by dividing by 88.4). Returns eGFR in mL/min/1.73m² and KDIGO CKD stage.
  • calculate_has_bledHAS-BLED bleeding risk on oral anticoagulation (0–9). Accepts raw age (the >65 criterion is computed) and raw systolic BP (the H criterion is computed as SBP >160 mmHg). Returns score and high/low bleeding-risk category (≥3 high).
  • calculate_curb65CURB-65 community-acquired pneumonia severity (0–5). BUN in mg/dL (threshold >19), respiratory rate ≥30, hypotension SBP<90 or DBP≤60, confusion, age ≥65.
  • calculate_qsofaqSOFA sepsis screening (0–3): respiratory rate ≥22, altered mentation (GCS <15), systolic BP ≤100. ≥2 suggests sepsis and further evaluation.
  • calculate_gcsGlasgow Coma Scale (3–15). eye_response 1–4, verbal_response 1–5, motor_response 1–6. Returns total, E/V/M sub-scores, and mild/moderate/severe severity (≤8 severe).
  • +47 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Openfda

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "openfda": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-openfda"
      ]
    }
  }
}

Taiwan Health MCP

No confirmed install command for Taiwan Health MCP yet — follow the setup steps linked from its listing page rather than a guessed package name.

Frequently asked questions

Openfda is categorized under Biology & Bioinformatics and uses a local stdio subprocess. Taiwan Health MCP belongs to Biology & Bioinformatics and uses an install path we have not confirmed yet. Pick Openfda for biology & bioinformatics work and Taiwan Health MCP for biology & bioinformatics.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Taiwan Health MCP has no confirmed install command yet — follow its own setup instructions.

Openfda has no declared pricing — check the project's own site. Taiwan Health MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add openfda and taiwan-health-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Openfda has a quality signal of 61/100 (Good) with 5 views, 0 installs and 0 GitHub stars. Taiwan Health MCP has 60/100 (Good) with 1 views, 0 installs and 167 GitHub stars.