io.github.hifarrerPublished by GitHub account hifarrerv1.0.0Updated Oct 24, 2026
Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.
Remote MCP server for oncology data — PubMed research, cancer news, FDA approvals, clinical trials — plus IBM MAMMAL biomedical predictions.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.hifarrer%2Fcure-cancer-with-ai/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Add this to your client's mcpServers config.
{
"mcpServers": {
"cure-cancer-with-ai": {
"type": "http",
"url": "https://www.curecancerwithai.com/api/mcp",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}A free public REST API and MCP server for oncology data: peer-reviewed research papers (PubMed), curated cancer news, FDA-approved oncology drugs, clinical trials, and a cross-dataset keyword search — plus IBM MAMMAL biomedical foundation-model predictions (protein–protein interaction, drug–target affinity, and ClinTox clinical-trial toxicity).
Base URL: https://www.curecancerwithai.com · Docs: https://www.curecancerwithai.com/developers · OpenAPI 3.1 spec · Agent instructions
[OpenAPI] [MCP] [License: MIT]
If you need to programmatically access oncology research, clinical trials, FDA approvals, or cancer news, or to run biomedical model predictions (protein–protein interaction, drug–target binding affinity, drug toxicity), this API gives you clean JSON with a free API key. It's a good fit for research tools, dashboards, chatbots, and AI agents.
ccw_live_..., shown once).Authorization: Bearer ccw_live_... (or x-api-key: ccw_live_...)X-RateLimit-Remaining; on HTTP 429 wait for Retry-After.{ data: [...], pagination: {...} }; single-record endpoints return { data: {...} }; errors return { error: "..." }.Common query params on list endpoints: limit (1–100, default 20), offset, and usually cancerType, search, from/to. Full details and field lists are in the OpenAPI spec and AGENTS.md.
There's a remote Model Context Protocol server over Streamable HTTP that exposes every endpoint above as a tool, so Claude, ChatGPT, and other MCP clients can call the API directly.
https://www.curecancerwithai.com/api/mcpAuthorization: Bearer ccw_live_YOUR_KEY as a header.Tools: search_oncology, list_research, get_research_paper, list_news, list_blog_posts, get_blog_post, list_fda_approvals, list_clinical_trials, get_clinical_trial, predict_ppi, predict_dti, predict_clintox, mammal_health. See mcp/.
Runnable samples in examples/: curl.sh, javascript.mjs, python.py. Import openapi.json into Postman or any OpenAPI tool, or use the Postman collection.
All data is for informational purposes only and is not medical advice. Cite source URLs (url, fullTextUrl, labelPdfUrl) when presenting results to users.
Source: README.md at commit 31cffff
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.
qrequiredlimittypescancerTypeList 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.
tofromlimitoffsetsearchcancerTypetreatmentTypeGet a research paper
Fetch a single research paper by its internal id or PubMed id.
idOrPubmedIdrequiredList cancer news
List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date.
tofromlimitoffsetsearchcancerTypeList blog posts
List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword.
limitoffsetsearchcategorycancerTypeGet a blog post
Fetch a single blog post by slug, including the full article content.
slugrequiredList FDA approvals
List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date.
tofromlimitoffsetsearchcancerTypeList clinical trials
List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword.
limitoffsetsearchstatusconditionGet a clinical trial
Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations.
nctIdrequiredPredict 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.
protein_arequiredprotein_brequiredPredict 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.
drug_seqrequirednorm_y_stdtarget_seqrequirednorm_y_meanPredict 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.
smilesrequiredSearch 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.
limitexamplespreferencesinclude_characteristicsList compound characteristics
List the pharmaceutical-compound characteristics (each scored on the −4…+4 scale) that can be used as preference keys in search_compounds.
Takes no parameters.
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.
Takes no parameters.
90% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Declare a license in the repository or the registry entry.
curl "https://www.curecancerwithai.com/api/v1/search?q=osimertinib&types=research,fdaApprovals" \ -H "Authorization: Bearer ccw_live_YOUR_KEY"{ "mcpServers": { "cure-cancer-with-ai": { "url": "https://www.curecancerwithai.com/api/mcp", "headers": { "Authorization": "Bearer ccw_live_YOUR_KEY" } } }}