# Cure Cancer With AI MCP server

Agent View of the PolicyLayer registry record for Cure Cancer With AI: identity, probed posture, risk grade, and all 15 tools classified. HTML page: https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai

## Facts

- Server id: `https://www.curecancerwithai.com/api/mcp`
- Homepage: https://github.com/hifarrer/ccwai-api
- Registry record: grade C, identity unverified
- Lifecycle: active
- Auth posture: open
- Rate-limited: no
- Tools: 15 (13 with introspected schema)
- Tool categories present: Read
- Context-window cost: 2373 tokens per request — https://policylayer.com/token-cost/io-github-hifarrer-cure-cancer-with-ai
- Tags: io github hifarrer cure cancer with ai
- Record last modified: 2026-08-16T16:05:27.897Z

## Tools (15)

| Tool | Category | Risk | Record |
| --- | --- | --- | --- |
| `predict_dti` | Execute | High | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/predict-dti.md |
| `predict_ppi` | Execute | High | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/predict-ppi.md |
| `get_blog_post` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/get-blog-post.md |
| `get_clinical_trial` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/get-clinical-trial.md |
| `get_research_paper` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/get-research-paper.md |
| `list_blog_posts` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-blog-posts.md |
| `list_clinical_trials` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-clinical-trials.md |
| `list_compound_characteristics` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-compound-characteristics.md |
| `list_fda_approvals` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-fda-approvals.md |
| `list_news` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-news.md |
| `list_research` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/list-research.md |
| `mammal_health` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/mammal-health.md |
| `predict_clintox` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/predict-clintox.md |
| `search_compounds` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/search-compounds.md |
| `search_oncology` | Read | Low | https://policylayer.com/tools/io-github-hifarrer-cure-cancer-with-ai/search-oncology.md |

## Tool descriptions

- `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.
- `get_blog_post` — Fetch a single blog post by slug, including the full article content.
- `get_clinical_trial` — Fetch a single clinical trial by NCT id (or internal id), including eligibility criteria and locations.
- `get_research_paper` — Fetch a single research paper by its internal id or PubMed id.
- `list_blog_posts` — List editorial blog articles (excerpts). Use get_blog_post for full content. Filter by category, cancer-type tag, or keyword.
- `list_clinical_trials` — List clinical trials from public registries (conditions, status, intervention type). Filter by condition, status (e.g. RECRUITING), or keyword.
- `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.
- `list_news` — List curated cancer news articles aggregated from trusted sources. Filter by cancer type, keyword, or published date.
- `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.
- `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.
- `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 a…
- `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 i…

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

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Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-hifarrer-cure-cancer-with-ai · API: https://policylayer.com/registry/api · Recommended policies for every tool: https://policylayer.com/policies/io-github-hifarrer-cure-cancer-with-ai