Cure Cancer With AI MCP Server

by hifarrer Your server? Claim it

answering

Cure Cancer With AI is answering right now. Last checked 9 min ago. It exposes 15 tools. Last commit 12 Jun 2026.

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

Uptime history 91 days of history · worst day 98%

91 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

529 ms

Response time

average over 24h

Stars

last commit 12 Jun 2026

Nothing serious here today

Today is the operative word: we check Cure Cancer With AI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add cure-cancer-with-ai --transport http https://www.curecancerwithai.com/api/mcp

Settings → Connectors → Add custom connector, then paste this address

https://www.curecancerwithai.com/api/mcp

~/.codex/config.toml

[mcp_servers.cure-cancer-with-ai]
url = "https://www.curecancerwithai.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "cure-cancer-with-ai": {
      "url": "https://www.curecancerwithai.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "cure-cancer-with-ai": {
      "type": "http",
      "url": "https://www.curecancerwithai.com/api/mcp"
    }
  }
}

Available tools 15

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

predict

predict_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.

predict_dti

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.

predict_ppi

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.

blog

get_blog_post

Fetch a single blog post by slug, including the full article content.

list_blog_posts

List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword.

clinical

get_clinical_trial

Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations.

list_clinical_trials

List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword.

research

get_research_paper

Fetch a single research paper by its internal id or PubMed id.

list_research

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.

compound

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.

compounds

search_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.

fda

list_fda_approvals

List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date.

mammal

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.

news

list_news

List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date.

oncology

search_oncology

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.

Endpoints

URL	Transport	State	Latency	Checked
https://www.curecancerwithai.com/api/mcp	streamable-http	answering	451 ms	9 min ago

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Cure Cancer With AI — questions

Answers built from our own checks of this server.

What can Cure Cancer With AI do?

It exposes 15 tools, read directly from the server on our last check. Among them: get_blog_post, get_clinical_trial, get_research_paper, list_blog_posts, list_clinical_trials, list_compound_characteristics and 9 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is Cure Cancer With AI mostly used for?

Its tools cluster around predict, blog and clinical. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is Cure Cancer With AI working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 529 ms. The bar chart above shows every period we have measured.

How do I connect Cure Cancer With AI?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Cure Cancer With AI need an API key?

No. Cure Cancer With AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 15 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Cure Cancer With AI?

It answers our handshake in 529 ms on average, which is faster than 23% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Cure Cancer With AI open source?

We cannot say either way: 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.