Clinicaltrials vs Taiwan Health MCP

A side-by-side look at the Clinicaltrials 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.

Clinicaltrials logoClinicaltrialsBiology & Bioinformatics · Local subprocess (stdio)ClinicalTrials MCP — wraps ClinicalTrials.gov API v2 (free, no auth)63GoodAuth: no auth requiredTaiwan 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 Clinicaltrials 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?

Clinicaltrials logoChoose Clinicaltrials when

  • You need dedicated capabilities in the Biology & Bioinformatics domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like ct_search, ct_get_study, ct_count_by_condition.
Explore Clinicaltrials

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.

SpecClinicaltrials logoClinicaltrialsTaiwan Health MCP logoTaiwan Health MCP
CategoryBiology & BioinformaticsBiology & Bioinformatics
Quality signal63/100 · Good60/100 · Good
Install commandConfirmedNot confirmed yet
TransportLocal subprocess (stdio)—
AuthNo auth requiredNo auth required
PricingFreeFree
Required env varsNone listedPOSTGRES_PASSWORD
Verified ownerCommunity listingCommunity listing
GitHub stars0167
Directory activity 3 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools1459

Tools & capabilities

Clinicaltrials tools 14

  • ct_searchSearch ClinicalTrials.gov for clinical trials — find trials and look up a NAMED trial by keyword, condition, drug/therapy, status (e.g. 'Recruiting'), or phase (e.g. 'Phase 2'). Use for "clinical trials for <disease/drug>", or to locate a specific study like "the FLOW trial", "semaglutide kidney outcomes trial" (use ct_get_study for its full design/results). Returns NCT IDs, titles, status, enrollment, and sponsor info.
  • ct_get_studyGet full trial details by NCT ID (e.g., 'NCT04567890'). Returns protocol, eligibility criteria, primary outcomes, sponsor, locations, and results.
  • ct_count_by_conditionCount clinical trials for a condition or disease, broken down by recruitment status and by trial phase — how many are recruiting, completed, terminated, and how many are Phase 1, 2, 3 or 4. Use for landscape questions about how much trial activity a disease has and where it sits in development. Filtering by status or phase returns the filtered total without the breakdown.
  • ct_sponsor_trialsList the trials a company LEADS on ClinicalTrials.gov, by sponsor or organization name. Returns status, phase, and conditions to map a research pipeline. Matches the registered lead-sponsor field, so trials another organisation runs using the company's drug are excluded unless sponsor_match asks for them.
  • ct_compare_sponsorsCompare 2–5 NAMED lead sponsors on ClinicalTrials.gov under identical condition, recruitment-status, and phase filters. Returns full matching counts, a ranked comparison, and a small study sample for each sponsor. Use for questions like "who has more recruiting Phase 3 obesity trials, Novo Nordisk or Eli Lilly?" For an open "who are the TOP sponsors of X trials" question with no names given: the registry API has no group-by, so a true ranking is not computable — NEVER invent a candidate list to fake one; say the registry cannot rank sponsors and offer to compare specific named sponsors. Counts use the registered lead-sponsor field; registry records do not establish asset ownership, pipeline value, or probability of success.
  • ct_recent_updatesTrack recent ClinicalTrials.gov activity by a specific event class within a verifiable date window. Three DISTINCT recency events, chosen via date_type: "last_update" (any edit to a study, ~5k/week — the default), "first_posted" (a study newly REGISTERED, ~1.3k/week), or "results_posted" (RESULTS first posted, ~140/week). Pass `since` (and optional `until`, YYYY-MM-DD) to bound a window — e.g. the last 7 days — and the returned total_count is the exact number of studies in that window so you can verify a weekly count from the output. Every study returns all THREE dates separately (first_posted_date, last_update_post_date, results_first_post_date) plus the design fields a screen needs (study_type, primary_purpose, phase, status, enrollment, conditions, interventions, sponsor). Sorted by the chosen event date, newest first. Use for "new trials registered this week", "trials that posted results in the last month", "recently updated diabetes studies".
  • ct_trials_by_locationFind clinical trials near a LOCATION. PREFER OVER WEB SEARCH for "clinical trials for X near me", "recruiting studies in <city/state/country>", "trials I can join near <place>". Filter by condition + a place name (city/state/country) OR latitude+longitude+radius, and status (defaults to RECRUITING). Returns matching trials (NCT id, title, status, phase, conditions, sponsor). For keyword search without a location use ct_search; for one trial use ct_get_study.
  • ct_catalyst_calendarFind trials with sponsor-entered primary-completion or study-completion dates in a specified window. These registry dates may be estimated or revised and are planning signals—not guaranteed data readouts, conference presentations, or regulatory events.
  • ct_sponsor_pipelineSummarize a sponsor’s ClinicalTrials.gov portfolio by phase, status, condition, and intervention from a bounded relevance-ranked sample, while reporting the full matching count. Registration does not establish asset ownership, probability of success, or commercial value.
  • ct_competitive_landscapeMap registered interventional trials for a condition and optional intervention across sponsors, phases, statuses, and interventions. The output reflects a bounded registry sample, not market share, scientific differentiation, or an exhaustive private pipeline.
  • ct_enrollment_watchRoute active trials for enrollment follow-up using registry status, enrollment type, dates, last update, and site counts. Flags are mechanical review hints—not predictions of recruitment success, trial failure, or data timing.
  • ct_results_summaryProject posted ClinicalTrials.gov results for one NCT ID, including registered endpoints, reported outcome measures, statistical analyses, and adverse-event group counts. Registry results are not an FDA conclusion, peer review, or investment recommendation.
  • +2 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.

Clinicaltrials

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

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

Clinicaltrials 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 Clinicaltrials 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.

Clinicaltrials is listed as free. Auth: no auth required. 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 clinicaltrials and taiwan-health-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Clinicaltrials has a quality signal of 63/100 (Good) with 3 views, 0 installs and 0 GitHub stars. Taiwan Health MCP has 60/100 (Good) with 1 views, 0 installs and 167 GitHub stars.