Skip to content
Back to search
100
MCP live MCP 2025-11-25 streamable-http

Cure Cancer With AI

io.github.hifarrer/cure-cancer-with-ai

Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.

Uptime
100.0%
1 direct probes · 30d
Response
687ms
last probe
Tools
15
callable
Resources
0
readable
Prompts
0
available

Tools · 15

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 disco…

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 tak…

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`. Us…

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.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "cure_cancer_with_ai": {
      "url": "https://www.curecancerwithai.com/api/mcp",
      "transport": "streamable-http"
    }
  }
}