mcpField
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Cure Cancer With AI

Cure Cancer With AI

Remote
github.com/hifarrerHealth0Updated 20w ago
Repository

About Cure Cancer With AI

Cure Cancer With AI provides oncology research, trial, FDA approval, and news data, plus IBM MAMMAL biomedical predictions. It is intended for research tools and AI agents; its data is informational and not medical advice.

Key features

  1. 01Cross-dataset oncology keyword search
  2. 02Research, news, and blog retrieval
  3. 03FDA approvals and clinical trials
  4. 04Protein interaction predictions
  5. 05Drug-target affinity and clinical toxicity predictions

Use cases

  1. 01Find research papers on a cancer topic
  2. 02Filter and inspect clinical trials
  3. 03Review oncology drug approvals and related news
  4. 04Run biomedical model predictions

MCP support

Its remote MCP server exposes the API endpoints as tools over Streamable HTTP, including oncology data retrieval and IBM MAMMAL predictions. Requests require a bearer API key in the Authorization header.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://www.curecancerwithai.com/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://www.curecancerwithai.com/api/mcpAuth required

Tools

15
ParameterTypeRequiredDescription
qstringYesThe keyword to search for, e.g. "osimertinib".
limitintegerNoMax results per dataset (1–100, default 5).
typesstringNoOptional comma-separated datasets to narrow to: research,news,blog,fdaApprovals,clinicalTrials.
cancerTypestringNoFilter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.

Details

From the project README

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:
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.
{
  "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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.