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Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.
Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions.
Remote endpoints: streamable-http: https://www.curecancerwithai.com/api/mcp
Remote MCP endpoint verified (152ms response). Server: cure-cancer-with-ai. 13 tools available. 2 trust signals: valid MCP protocol, registry import. No security issues detected.
13 tools verified · Open access · 1 issue found
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Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-hifarrer-cure-cancer-with-ai": {
"url": "https://www.curecancerwithai.com/api/mcp"
}
}
}From the project's GitHub README.
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
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).curl "https://www.curecancerwithai.com/api/v1/search?q=osimertinib&types=research,fdaApprovals" \
-H "Authorization: Bearer ccw_live_YOUR_KEY"
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: "..." }.| Method | Path | Description |
|---|---|---|
| GET | /api/v1/research | Peer-reviewed oncology research papers (PubMed) |
| GET | /api/v1/research/{idOrPubmedId} | A single research paper |
| GET | /api/v1/news | Curated cancer news |
| GET | /api/v1/blog | Editorial blog posts (excerpts) |
| GET | /api/v1/blog/{slug} | A single blog post (full content) |
| GET | /api/v1/fda-approvals | FDA-approved oncology drugs |
| GET | /api/v1/clinical-trials | Clinical trials from public registries |
| GET | /api/v1/clinical-trials/{nctId} | A single trial (eligibility + locations) |
| GET | /api/v1/search | Cross-dataset keyword search (all datasets at once) |
| POST | /api/v1/mammal/ppi | MAMMAL: protein–protein interaction |
| POST | /api/v1/mammal/dti | MAMMAL: drug–target interaction (pKd) |
| POST | /api/v1/mammal/clintox | MAMMAL: ClinTox clinical-trial toxicity |
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.{
"mcpServers": {
"cure-cancer-with-ai": {
"url": "https://www.curecancerwithai.com/api/mcp",
"headers": { "Authorization": "Bearer ccw_live_YOUR_KEY" }
}
}
}
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.
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