Cure Cancer With AI
- Updated June 12, 2026
- hifarrer/ccwai-api
Cure Cancer With AI is a hosted MCP server that provides oncology research datasets and IBM MAMMAL biomedical prediction tools so agents can discover cancer literature and run structured model inferences.
About
Cure Cancer With AI is a hosted MCP server that exposes free oncology datasets and IBM MAMMAL biomedical prediction tools to research agents. It lets you search across papers, trials, FDA approvals, and news, then fetch individual records or run model predictions such as drug-target interaction and toxicity scoring. Reach for it when you are exploring cancer research data or prototyping biomedical agent workflows rather than shipping a clinical product.
- Free oncology research, trials, FDA approvals, news, and blog datasets
- search_oncology keyword discovery across all dataset types
- IBM MAMMAL predictions for toxicity, DTI, and related biomedical tasks
- mammal_health check before CPU-bound prediction calls
- Hosted MCP connector with grouped retrieval and prediction tools
Cure Cancer With AI by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add --transport http cure-cancer-with-ai https://www.curecancerwithai.com/api/mcp --header "Authorization: Bearer YOUR_TOKEN"Add your badge
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| Transport | HTTP |
|---|---|
| Auth | Required |
| Last updated | June 12, 2026 |
| Repository | hifarrer/ccwai-api ↗ |
How can a research agent quickly search oncology trials, papers, and approvals and run biomedical predictions without wiring multiple APIs and models manually?
Search oncology datasets and run IBM MAMMAL biomedical predictions for trials, papers, FDA approvals, and drug models.
Who is it for?
Biomedical engineers, health-data developers, and research agents prototyping oncology discovery workflows with curated datasets plus MAMMAL predictions.
Skip if: Clinical decision support in production, non-oncology medical domains, or users who need guaranteed sub-second responses from CPU-heavy predict tools.
What you get
The agent returns grouped oncology search results or detailed records and, when requested, MAMMAL prediction outputs for supported biomedical tasks.
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Does this MCP claim to cure cancer?
No—it is a research assistant that aggregates oncology information and exposes IBM MAMMAL prediction tools; it is not a medical device or treatment system.
When should I call mammal_health?
Use mammal_health before predict tools if a prior prediction timed out, to confirm the MAMMAL model is loaded and ready.
How is search_oncology different from get_* tools?
search_oncology performs broad keyword discovery across all datasets, while get_* tools fetch one fully detailed record by id, slug, or NCT id.