mcp server
Cure Cancer With AI
Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.
Description as published by the maintainer. Source
- version 1.0.0
- active
- retrieval
active — Registry entry last updated 2026-06-12. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
15 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
get_blog_post(slug)- Fetch a single blog post by slug, including the full article content. Required: slug.
get_clinical_trial(nctId)- Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations. Required: nctId.
get_research_paper(idOrPubmedId)- Fetch a single research paper by its internal id or PubMed id. Required: idOrPubmedId.
list_blog_posts(limit, offset, search, category, cancerType)- List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword.
list_clinical_trials(limit, offset, search, status, condition)- List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword.
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.
list_fda_approvals(to, from, limit, offset, search, cancerType)- List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date.
list_news(to, from, limit, offset, search, cancerType)- List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date.
list_research(to, from, limit, offset, search, cancerType, treatmentType)- 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.
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.
predict_clintox(smiles)- 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. Required: smiles.
predict_dti(drug_seq, norm_y_std, target_seq, norm_y_mean)- 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. Required: target_seq, drug_seq.
predict_ppi(protein_a, protein_b)- 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. Required: protein_a, protein_b.
search_compounds(limit, examples, preferences, include_characteristics)- 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.
search_oncology(q, limit, types, cancerType)- 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. Required: q.
Last successful function declaration observed on . Source: https://www.curecancerwithai.com/api/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://www.curecancerwithai.com/api/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-12 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-12 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 15 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | www.curecancerwithai.com | |
| mcp endpoint status | ok | The server listed 15 functions when asked. | as of probe | www.curecancerwithai.com |
Where to get it
Also from hifarrer
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This record as data
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