Index / MCP servers / Cure Cancer With AI

Cure Cancer With AI MCP server

Cure Cancer With AI is an MCP server with 15 tools an agent can call, among them get_blog_post, get_clinical_trial, get_research_paper. It answers at https://www.curecancerwithai.com/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.

Status

Answering

Tools

Reliability

6 of 6 checks

Response time

870 ms

Transport

streamable HTTP

Last checked

22 October 2026

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

Description as the publisher wrote it.

The 15 tools Cure Cancer With AI offers

Tool	What it does
`get_blog_post`	Fetch a single blog post by slug, including the full article content. Inputs: slug
`get_clinical_trial`	Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations. Inputs: nctId
`get_research_paper`	Fetch a single research paper by its internal id or PubMed id. Inputs: idOrPubmedId
`list_blog_posts`	List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword. Inputs: category, cancerType, search, limit, offset
`list_clinical_trials`	List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword. Inputs: condition, status, search, limit, offset
`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.
`list_fda_approvals`	List FDA-approved oncology drugs with indication, company, approval date, and label links. Filter by cancer type, keyword, or approval date. Inputs: cancerType, search, from, to, limit, offset
`list_news`	List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date. Inputs: cancerType, search, from, to, limit, offset
`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. Inputs: cancerType, treatmentType, search, from, to, limit
`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.
`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. Inputs: smiles
`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. Inputs: target_seq, drug_seq, norm_y_mean, norm_y_std
`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. Inputs: protein_a, protein_b
`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 Inputs: examples, preferences, limit, include_characteristics
`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/s Inputs: q, types, cancerType, limit

Add Cure Cancer With AI to your AI client

Every block below points at https://www.curecancerwithai.com/api/mcp. Pick your client and copy.

Claude Code: one command in your terminal

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

Claude Desktop: claude_desktop_config.json

{
  "mcpServers": {
    "cure-cancer-with-ai": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://www.curecancerwithai.com/api/mcp"]
    }
  }
}

Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project

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

VS Code and GitHub Copilot: .vscode/mcp.json

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

Zed: Zed settings.json

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

Windsurf: ~/.codeium/mcp_config.json

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

JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON

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

Continue: .continue/mcpServers/neuronto.yaml

name: Cure Cancer With AI
version: 0.0.1
schema: v1
mcpServers:
  - name: Cure Cancer With AI
    type: streamable-http
    url: https://www.curecancerwithai.com/api/mcp

Gemini CLI: ~/.gemini/settings.json

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

Codex CLI: MCP server config

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

Warp: MCP servers, + Add, paste JSON

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

Goose: a one-click extension link

goose://extension?url=https%3A%2F%2Fwww.curecancerwithai.com%2Fapi%2Fmcp&type=streamable_http&id=cure-cancer-with-ai&name=Cure%20Cancer%20With%20AI

Is Cure Cancer With AI up right now?

It answered our last check on 22 October 2026 in 870 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

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Questions about Cure Cancer With AI

How many tools does Cure Cancer With AI have?

15, as returned by the server's own tools/list on 14 September 2026: get_blog_post, get_clinical_trial, get_research_paper, list_blog_posts, list_clinical_trials, list_compound_characteristics, list_fda_approvals, list_news, and 7 more.

Is Cure Cancer With AI down?

It answered our last check on 22 October 2026 in 870 ms. Over 6 checks since 11 September 2026 it answered 6.

How do I add Cure Cancer With AI to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://www.curecancerwithai.com/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Cure Cancer With AI need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.hifarrer. Endpoint host: www.curecancerwithai.com. ARD identifier: urn:air:io.github.hifarrer:mcp:cure-cancer-with-ai. First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.