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Cure Cancer With AI

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View Repository

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cure-cancer-with-ai": {
      "command": "npx",
      "args": [
        "-y",
        "cure-cancer-with-ai"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

Cure Cancer With AI — Public API

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


What it's for

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.

Quickstart

  1. Get a free API key — sign in at https://www.curecancerwithai.com/api-keys and click Create key (format ccw_live_..., shown once).
  2. Send it on every request as a Bearer token:
Terminal
curl "https://www.curecancerwithai.com/api/v1/search?q=osimertinib&types=research,fdaApprovals" \
  -H "Authorization: Bearer ccw_live_YOUR_KEY"
  • Auth: Authorization: Bearer ccw_live_... (or x-api-key: ccw_live_...)
  • Free tier: 100 requests/hour per key (rolling window). Watch X-RateLimit-Remaining; on HTTP 429 wait for Retry-After.
  • List endpoints return { data: [...], pagination: {...} }; single-record endpoints return { data: {...} }; errors return { error: "..." }.

Endpoints

MethodPathDescription
GET/api/v1/researchPeer-reviewed oncology research papers (PubMed)
GET/api/v1/research/{idOrPubmedId}A single research paper
GET/api/v1/newsCurated cancer news
GET/api/v1/blogEditorial blog posts (excerpts)
GET/api/v1/blog/{slug}A single blog post (full content)
GET/api/v1/fda-approvalsFDA-approved oncology drugs
GET/api/v1/clinical-trialsClinical trials from public registries
GET/api/v1/clinical-trials/{nctId}A single trial (eligibility + locations)
GET/api/v1/searchCross-dataset keyword search (all datasets at once)
POST/api/v1/mammal/ppiMAMMAL: protein–protein interaction
POST/api/v1/mammal/dtiMAMMAL: drug–target interaction (pKd)
POST/api/v1/mammal/clintoxMAMMAL: 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.

MCP server (for AI agents)

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.

  • Endpoint: https://www.curecancerwithai.com/api/mcp
  • Auth: send Authorization: Bearer ccw_live_YOUR_KEY as a header.
config.json
{
  "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/.

Examples

Runnable samples in examples/: curl.sh, javascript.mjs, python.py. Import openapi.json into Postman or any OpenAPI tool, or use the Postman collection.

Disclaimer

All data is for informational purposes only and is not medical advice. Cite source URLs (url, fullTextUrl, labelPdfUrl) when presenting results to users.

Links

  • Developer docs: https://www.curecancerwithai.com/developers
  • OpenAPI 3.1: https://www.curecancerwithai.com/openapi.json
  • Agent instructions: https://www.curecancerwithai.com/ai-api-instructions.md
  • llms.txt: https://www.curecancerwithai.com/llms.txt
  • Get a free API key: https://www.curecancerwithai.com/api-keys

Read the full README →View source on GitHub →

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Frequently Asked Questions about Cure Cancer With AI

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "cure-cancer-with-ai": { "command": "npx", "args": ["-y", "Cure Cancer With AI"] } }

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand â–¾
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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