io.github.hifarrer/cure-cancer-with-ai · v1.0.0 · health-and-science
Cure Cancer With AI is healthy: it completed an MCP handshake in 2317 ms and exposes 15 tools.
Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.
Endpoint: https://www.curecancerwithai.com/api/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 15 |
| Latency | 2317 ms |
| Last checked (UTC) | 2026-10-16T08:15:43.389Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-16T08:15:43.389Z | Healthy | 2317 | |
| 2026-10-15T04:10:36.036Z | Healthy | 3351 |
search_oncology | Search a keyword across every Cure Cancer With AI dataset at once — research papers, news, blog posts, FDA approvals, and clinical trials — with results grouped by type. Use this first for broad discovery, then fetch a single record by id/slug/nctId for full detail. |
list_research | List peer-reviewed oncology research papers ingested from PubMed (abstracts, authors, journal, plain-language summaries). Filter by cancer type, treatment type, keyword, or publication date. |
get_research_paper | Fetch a single research paper by its internal id or PubMed id. |
list_news | List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date. |
list_blog_posts | List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword. |
get_blog_post | Fetch a single blog post by slug, including the full article content. |
list_fda_approvals | List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date. |
list_clinical_trials | List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword. |
get_clinical_trial | Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations. |
predict_ppi | Predict the binding-affinity class for a pair of proteins using the IBM MAMMAL biomedical foundation model. Returns label "1" (interacting) or "0" (non-interacting). Inference is CPU-bound and may take up to ~60s. |
predict_dti | Predict drug–target binding affinity as pKd (−log10 Kd; higher = stronger binding) using IBM MAMMAL. Inference is CPU-bound and may take up to ~60s. |
predict_clintox | Predict clinical-trial toxicity for a compound using IBM MAMMAL. Returns pred 1 (toxic / likely to fail trials) or 0 (not toxic) plus a raw score. Inference is CPU-bound and may take up to ~60s. |
search_compounds | Find pharmaceutical compounds two ways: by example drugs you already know (fuzzy-matched), or by setting target characteristics on a −4…+4 scale. Provide exactly one of `examples` or `preferences`. Use list_compound_characteristics for the available preference names. |
list_compound_characteristics | List the pharmaceutical-compound characteristics (each scored on the −4…+4 scale) that can be used as preference keys in search_compounds. |
mammal_health | Check whether the IBM MAMMAL prediction model is loaded and ready. No API key required. Call this before predict_* tools if a prior prediction timed out. |