deepdna.aiVerified
Pharmacogenomics for AI agents: cited drug–gene, gene and rsID lookups plus a medication screen.
HealthcareData access / search
- Passed: Handshake
- Passed: Tools listed
- Passed: Updated recently
Median latency 1277 ms · Last checked
Explore
Evidence for your next connection.
Independent measurements of remote MCP servers. Every observation has a timestamp.
Read-only probesMCP server · Data access / search
Search recruiting US clinical trials by city, condition, phase and patient eligibility.
2 failed · 8 not measured
Median of successful probes over 7 days
Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.
Tool definitions returned by this server
Independent monitoring
Outdated check
Last connection measurement is over 24 hours old. Current availability is unknown.
Last checked| Test area | Passed | Failed | Unmeasured |
|---|---|---|---|
ConnectionCan a client connect and discover tools? | 5 | 0 | 0 |
Reliability & speedDoes it respond consistently and quickly? | 0 | 0 | 4 |
Access & authenticationWhat is required to use this server? | 1 | 0 | 2 |
Tool qualityAre the tool definitions usable by an agent? | 3 | 1 | 0 |
Publisher identityCan the publisher be traced to its source? | 3 | 1 | 2 |
Unmeasured means there is not enough evidence to decide. How these checks work
Start using Hipa.ai Clinical Trials
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http hipa-ai-clinical-trials https://hipa.ai/api/mcp/mcpCapabilities
Return only the count of active US clinical trials matching the same filter set accepted by clinicaltrials_search_trials. Use this when the caller needs a population estimate (e.g. 'how many trials are recruiting in California for type 2 diabetes?') without fetching trial records. Far cheaper than calling search and discarding the results.
DiscoveredMatch patient demographics (age, sex, conditions, location) to currently recruiting US clinical trials. Conditions are curated slugs, labels or trial-record condition names (discover them via clinicaltrials_list_conditions). Maps ageYears to the AACT eligibility bucket (child 0-17, adult 18-64, senior 65+). Returns up to 50 trials per page with an opaque cursor for further pagination. State scope is required; city is optional for facility-level narrowing.
DiscoveredReturns the timestamp at which the underlying ClinicalTrials.gov dataset was last refreshed on the server. Use this to disclose the data age to end users or to decide whether to re-query for fresher results.
DiscoveredFetch the full clinical trial record by NCT ID. Returns title, status, sponsor, summary, conditions, interventions, arms, design, eligibility (age, sex, healthy volunteers and the full inclusion/exclusion criteria text), primary outcomes, central contacts, every US site location with its contacts, and links to the trial's Hipa.ai page and ClinicalTrials.gov record. Use this after clinicaltrials_search_trials surfaces a candidate NCT id and the caller needs the complete record - the search tool only returns a paginated summary.
DiscoveredList the curated conditions the trial search tools filter on, with the slug to pass as `condition` (clinicaltrials_search_trials, clinicaltrials_count_trials) or in `conditions` (clinicaltrials_find_eligible_trials). Pass `query` to find a condition by name or synonym (e.g. 'lung', 'diabetes', 'NSCLC'). Ordered by how many recruiting US trials study the condition. Specialty entries (e.g. 'oncology') are roll-ups covering many conditions.
DiscoveredList the most common conditions across active US clinical trials in a US state or city, with trial counts. Use this when the caller wants to see what is well-represented in a region before searching. Each entry carries the curated `slug` to pass to clinicaltrials_search_trials as `condition` (null when the label has no curated match - use clinicaltrials_list_conditions to find a close one). Counts come from AACT condition aggregations and refresh daily.
DiscoveredList named research facilities running active US clinical trials in a city, ranked by trial count. Returns each facility's name, ZIP, the top conditions they study, and one example NCT ID for quick verification. Use this when the caller asks where studies are happening in a specific city, or wants to surface named local clinics for a downstream clinicaltrials_search_trials call with the facility filter.
DiscoveredSearch active US clinical trials by location, condition slug, phase, study type, intervention type, recruitment status, sex eligibility, age bucket, healthy-volunteer flag, and facility name. Returns up to 50 trials per page with an opaque cursor for further pagination. Cursors are tied to the exact filter set used to issue them - reusing a cursor with a different filter set returns invalid_cursor. Use state-only scope first when exploring a region, then narrow to city for facility-level detail.
DiscoveredRecent measurements
| Checked | Result | Response | Tools |
|---|---|---|---|
| Connected | 1109 ms | 8 |