Anzctr vs Clinicaltrials — MCP Server Comparison | AllMCPs
Anzctr vs Clinicaltrials
A side-by-side look at the Anzctr and Clinicaltrials MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Anzctr for biology, medicine and bioinformatics work as a local process; choose Clinicaltrials for biology, medicine and bioinformatics as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
A
Choose Anzctr when
You need dedicated capabilities in the Biology, Medicine and Bioinformatics domain.
No tool names declared yet. Check the project README from the listing page.
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.
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.
Anzctr is categorized under Biology, Medicine and Bioinformatics and uses a local stdio subprocess. Clinicaltrials belongs to Biology, Medicine and Bioinformatics and uses a local stdio subprocess. Pick Anzctr for biology, medicine and bioinformatics work and Clinicaltrials for biology, medicine and 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.
Anzctr is listed as free. Auth: no auth required. Clinicaltrials has no declared pricing — check the project's own site. 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 anzctr and clinicaltrials as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Anzctr has a quality signal of 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Clinicaltrials has 61/100 (Good) with 2 views, 0 installs and 0 GitHub stars.
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.