# Cure Cancer With AI MCP server

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

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-hifarrer-cure-cancer-with-ai
- Repository: https://github.com/hifarrer/ccwai-api

## Install
- Endpoint: https://www.curecancerwithai.com/api/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: Authorization (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://www.curecancerwithai.com/api/mcp
- Header: Authorization

## Tools
- search_oncology (Search all oncology datasets) - 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. Endpoint: https://www.curecancerwithai.com/api/mcp
- list_research (List research papers) - 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. Endpoint: https://www.curecancerwithai.com/api/mcp
- get_research_paper (Get a research paper) - Fetch a single research paper by its internal id or PubMed id. Endpoint: https://www.curecancerwithai.com/api/mcp
- list_news (List cancer news) - List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date. Endpoint: https://www.curecancerwithai.com/api/mcp
- list_blog_posts (List blog posts) - List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword. Endpoint: https://www.curecancerwithai.com/api/mcp
- get_blog_post (Get a blog post) - Fetch a single blog post by slug, including the full article content. Endpoint: https://www.curecancerwithai.com/api/mcp
- list_fda_approvals (List FDA approvals) - List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date. Endpoint: https://www.curecancerwithai.com/api/mcp
- list_clinical_trials (List clinical trials) - List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword. Endpoint: https://www.curecancerwithai.com/api/mcp
- get_clinical_trial (Get a clinical trial) - Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations. Endpoint: https://www.curecancerwithai.com/api/mcp
- predict_ppi (Predict protein–protein interaction) - 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. Endpoint: https://www.curecancerwithai.com/api/mcp
- predict_dti (Predict drug–target interaction (pKd)) - 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. Endpoint: https://www.curecancerwithai.com/api/mcp
- predict_clintox (Predict clinical-trial toxicity (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. Endpoint: https://www.curecancerwithai.com/api/mcp
- search_compounds (Search pharmaceutical 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. Endpoint: https://www.curecancerwithai.com/api/mcp
- list_compound_characteristics (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. Endpoint: https://www.curecancerwithai.com/api/mcp
- mammal_health (Check MAMMAL model 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. Endpoint: https://www.curecancerwithai.com/api/mcp

## Resources
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## Prompts
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## Metadata
- Owner: io.github.hifarrer
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 12, 2026
- Source: https://registry.modelcontextprotocol.io