Connect-MCP

Cure Cancer With AI

io.github.hifarrer/cure-cancer-with-ai · v1.0.0

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

MCPremoteAPI keyHealthNewsResearch & education

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 15 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 83/100

What it does: 15 tools · 11 read, 0 write · Health, Research & education, AI & LLM

Test call list_research: needs a key: tool error: Missing API key. Configure your MCP client to send the header "Authorization: Bearer ccw_live_YOUR_KEY". Get a free key (1,015 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://www.curecancerwithai.com/api/mcp

Tools

15 tools listed at last check
  • 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.

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