Clinicaltrials vs Medical Terminologies MCP
A side-by-side look at the Clinicaltrials and Medical Terminologies MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Clinicaltrials for biology & bioinformatics work as a local process; choose Medical Terminologies MCP for biology & bioinformatics as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose 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.
Choose Medical Terminologies MCP when
- You need dedicated capabilities in the Biology & Bioinformatics domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
WHO_CLIENT_ID, WHO_CLIENT_SECRET, WHO_ICD11_RELEASE_ID. - You want tools like
icd11_search, icd11_lookup, icd11_hierarchy.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Biology & Bioinformatics | Biology & Bioinformatics |
| Quality signal | 63/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | API key required |
| Pricing | Free | Free |
| Required env vars | None listed | WHO_CLIENT_IDWHO_CLIENT_SECRETWHO_ICD11_RELEASE_ID |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 15 |
| Directory activity | 3 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 14 | 33 |
| Full listing | View Clinicaltrials | View Medical Terminologies MCP |
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
Medical Terminologies MCP tools 33
icd11_searchSearch for medical conditions, diseases, and health problems in ICD-11 (International Classification of Diseases, 11th Revision). Use this tool to: - Find ICD-11 codes for diagnoses - Search for diseases by name or keyword - Look up conditions in multiple languages Set `language` for WHO's official translations — e.g. `language: "pt"` searches and returns the official Portuguese (pt-BR) ICD-11 labels. Never machine-translated. Returns matching entities with codes, titles, and relevance scores.icd11_lookupGet detailed information about a specific ICD-11 entity by code or URI. Use this tool to: - Get the full definition of a disease - Retrieve coding notes and exclusions - Get the official title and synonyms Provide either an ICD-11 code (e.g., "BA00") or a full foundation URI. Set `language` for WHO's official translations (e.g. `language: "pt"` for official Portuguese).icd11_hierarchyNavigate the ICD-11 hierarchy to find parent or child entities. Use this tool to: - Find broader categories (parents) of a condition - Find specific subtypes (children) of a condition - Understand the classification structure Name the entity by `code` (a leaf code like "5A11", or a block range like "5A10-5A2Y" — blocks come back from 'parents' with an empty code and a code_range) or by `uri` (the URI any previous answer returned). Direction 'parents' returns ancestor categories, 'children' returns subcategories. ICD-10 codes (like "E11") are not ICD-11 codes: convert them first with map_icd10_to_icd11.icd11_chaptersList all ICD-11 chapters (top-level categories). Use this tool to: - Get an overview of ICD-11 structure - Find which chapter covers a body system or condition type - Navigate to specific disease categories ICD-11 has 28 chapters covering all areas of medicine.icd11_postcoordinationGet postcoordination information for an ICD-11 code. Use this tool to: - Find available axes for building composite codes - Check required vs optional postcoordination - Understand code extension possibilities Postcoordination allows adding severity, laterality, anatomy, etc.loinc_searchSearch for laboratory tests, clinical observations, and measurements in LOINC (Logical Observation Identifiers Names and Codes). Use this tool to: - Find LOINC codes for lab tests (e.g., "glucose", "hemoglobin") - Search for clinical measurements and vital signs - Look up diagnostic observations Returns matching LOINC codes with names, components, and properties.loinc_detailsGet detailed information about a specific LOINC code. Use this tool to: - Get the full name and description of a LOINC code - Find the component, property, timing, and system - Check the scale type and method Provide a LOINC number in format "XXXXX-X" (e.g., "2339-0" for Glucose).loinc_answersGet the list of valid answers for a LOINC questionnaire item. Use this tool to: - Find valid response options for survey questions - Get answer codes for data entry validation - Look up standardized answer lists Only applicable to LOINC codes that represent questions with defined answer sets.loinc_panelsGet the structure of a LOINC panel or form. Use this tool to: - See all tests included in a panel (e.g., CBC, metabolic panel) - Get the structure of assessment forms - Find related observations grouped together Returns the list of LOINC codes that make up the panel.rxnorm_searchSearch for drugs in RxNorm (Normalized names for clinical drugs). Use this tool to: - Find drug concepts by brand or generic name - Look up medications for prescribing - Search for drug formulations Returns matching drugs with RxCUI identifiers, names, and term types.rxnorm_conceptGet detailed information about a specific RxNorm concept by RxCUI. Use this tool to: - Get the full name and synonyms for a drug - Check the concept status (active, remapped, etc.) - View related concepts (ingredients, brands, forms) Provide an RxCUI (RxNorm Concept Unique Identifier) like "161".rxnorm_ingredientsGet active ingredients for a drug by RxCUI. Use this tool to: - Find the active ingredients in a medication - Check for single vs. multiple ingredient products - Identify the generic components of brand drugs Returns ingredient RxCUIs and names.- +21 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": {
"clinicaltrials": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-clinicaltrials"
]
}
}
}
Medical Terminologies MCP
{
"mcpServers": {
"sidneybissoli-medical-terminologies-mcp": {
"command": "npx",
"args": [
"-y",
"medical-terminologies-mcp"
],
"env": {
"WHO_CLIENT_ID": "YOUR_WHO_CLIENT_ID_HERE",
"WHO_CLIENT_SECRET": "YOUR_WHO_CLIENT_SECRET_HERE",
"WHO_ICD11_RELEASE_ID": "YOUR_WHO_ICD11_RELEASE_ID_HERE"
}
}
}
}
Frequently asked questions
Clinicaltrials is categorized under Biology & Bioinformatics and uses a local stdio subprocess. Medical Terminologies MCP belongs to Biology & Bioinformatics and uses a local stdio subprocess. Pick Clinicaltrials for biology & bioinformatics work and Medical Terminologies 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.
Clinicaltrials is listed as free. Auth: no auth required. Medical Terminologies MCP is listed as free. Auth: api key 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 sidneybissoli-medical-terminologies-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. Medical Terminologies MCP has 68/100 (Great) with 4 views, 0 installs and 15 GitHub stars.