ZBS Index What actually exists in applied AI, with the source next to it

mcp server

clinicaltrialsgov-mcp-server

Search ClinicalTrials.gov — find studies, retrieve results, match patients to eligible trials.

Description as published by the maintainer. Source

  • version 2.8.5
  • active
  • retrieval

active — Most recent push to the repository was 2026-07-26. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

clinicaltrials_find_eligible(age, sex, location, conditions, maxResults, recruitingOnly, healthyVolunteer)
Match patient demographics and conditions to eligible recruiting clinical trials. Provide age, sex, conditions, and location to find studies with matching eligibility criteria, contact information, and recruiting locations. Results are re-ranked so studies whose own condition matches a requested condition surface above tangential matches from ClinicalTrials.gov's fuzzy condition search. Required: age, sex, conditions, location.
clinicaltrials_get_field_definitions(mode, path, limit, query, includeIndexedOnly)
Resolve valid field names from the ClinicalTrials.gov data model — the canonical PascalCase identifiers (OverallStatus, EnrollmentCount, LeadSponsorName) accepted by the `fields`, `advancedFilter`, and `sort` parameters of other tools, and as input to clinicaltrials_get_field_values. Select a mode: `"search"` — keyword search returning ranked matches (pass `query`, e.g. "enrollment", "sponsor", "adverse events"); `"drill"` — drill into a specific section by dot-notation path (pass `path`, e.g. "protocolSection.designModule"); `"overview"` — top-level summary of all sections (no additional args). Required: mode.
clinicaltrials_get_field_values(fields)
Discover valid values for ClinicalTrials.gov fields with study counts per value. Use to explore available filter options before building a search — e.g., valid OverallStatus, Phase, InterventionType, StudyType, or LeadSponsorClass values. Required: fields.
clinicaltrials_get_study_count(query, titleQuery, phaseFilter, outcomeQuery, sponsorQuery, statusFilter, locationQuery, advancedFilter, conditionQuery, interventionQuery, includeUnknownEnrollment)
Get total clinical trial study count from ClinicalTrials.gov matching a query, without fetching study data. Fast and lightweight. Use for quick statistics or to build breakdowns by calling multiple times with different filters (e.g., count by phase, count by status, count recruiting vs completed for a condition).
clinicaltrials_get_study_record(nctId, nearLocation, outcomeLimit, locationLimit, referenceLimit)
Fetch a single clinical trial study by NCT ID from ClinicalTrials.gov. Returns the full study record including protocol details, eligibility criteria, outcomes, arms, interventions, contacts, and locations. Optional locationLimit / outcomeLimit / referenceLimit / nearLocation parameters trim locations, outcomes, and references — original totals are preserved in `filtersApplied` only when a cap actually trims the set. Required: nctId.
clinicaltrials_get_study_results(nctIds, summary, sections)
Fetch clinical trial results data from ClinicalTrials.gov for completed studies — outcome measures with statistics, adverse events, participant flow, baseline characteristics, and results metadata (limitations & caveats, certain-agreement disclosure restrictions, results point of contact). Only available for studies where hasResults is true. Use clinicaltrials_search_studies first to find studies with results. Required: nctIds.
clinicaltrials_search_studies(sort, query, fields, nctIds, pageSize, geoFilter, pageToken, countTotal, titleQuery, phaseFilter, outcomeQuery, sponsorQuery, statusFilter, locationQuery, advancedFilter, conditionQuery, interventionQuery, includeUnknownEnrollment)
Search for clinical trial studies from ClinicalTrials.gov. Supports full-text and field-specific queries, status/phase/geographic filters, pagination, sorting, and field selection. Returns a compact per-study index by default; pass the fields parameter to get specific leaves at full fidelity — full study records are ~70KB each.

Last successful function declaration observed on . Source: https://clinicaltrials.caseyjhand.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://clinicaltrials.caseyjhand.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 85 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-07-26 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 2 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 2.8.5 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-26 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License Apache-2.0 Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-07-26 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 7 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe clinicaltrials.caseyjhand.com
mcp endpoint status ok The server listed 7 functions when asked. as of probe clinicaltrials.caseyjhand.com

Where to get it

Related, by what their authors tagged them

  • io.github.cyanheads/npi-providers-mcp-server — last commit 2026-07-30, shares cyanheads, health-tech
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  • io.github.cyanheads/brapi-mcp-server — last commit 2026-07-16, shares bioinformatics, cyanheads
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  • io.github.cyanheads/ensembl-mcp-server — last commit 2026-07-09, shares bioinformatics, cyanheads
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  • io.github.cyanheads/gnomad-genetics-mcp-server — last commit 2026-07-30, shares bioinformatics, cyanheads
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  • io.github.cyanheads/pubchem-mcp-server — last commit 2026-07-30, shares bioinformatics, cyanheads
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  • io.github.cyanheads/pubmed-mcp-server — last commit 2026-07-30, shares bioinformatics, cyanheads
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  • io.github.cyanheads/uniprot-mcp-server — last commit 2026-07-30, shares bioinformatics, cyanheads
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These share tags the maintainers applied themselves, such as cyanheads, health-tech, research-tools, bioinformatics. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from cyanheads

How the author describes it

Topics the maintainer set on GitHub: ai-agent, bioinformatics, clinical-trials, clinicaltrials-gov, cyanheads, eligibility-criteria, health-tech, mcp, mcp-server, model-context-protocol, patient-matching, research-tools, trial-finder, typescript.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. cyanheads/clinicaltrialsgov-mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://clinicaltrials.caseyjhand.com/mcp — clinicaltrials.caseyjhand.com, observed , trust tier 4.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.