Cure Cancer With AI

Reliability

Status and outage history · Atom feed · Watch with other listings

How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "cure-cancer-with-ai": {
      "type": "http",
      "url": "https://www.curecancerwithai.com/api/mcp"
    }
  }
}

15 tools

• 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.

Security scan

Recent checks