# Cure Cancer With AI (remote · www.curecancerwithai.com)

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

- Trust score: 67/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `www.curecancerwithai.com`: 67/100 (this document), [markdown](https://verifymcp.io/servers/hifarrer-cure-cancer-with-ai/api-mcp.md), [page](https://verifymcp.io/servers/hifarrer-cure-cancer-with-ai/api-mcp)

## Channel facts

- Endpoint: `https://www.curecancerwithai.com/api/mcp`
- Transports: `streamable-http`
- Auth: `required`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 15 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 76/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1697 tokens (~113/item across 15 items; 15 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "hifarrer-cure-cancer-with-ai": {
      "type": "remote",
      "url": "https://www.curecancerwithai.com/api/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add hifarrer-cure-cancer-with-ai --url https://www.curecancerwithai.com/api/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  hifarrer-cure-cancer-with-ai:
    url: "https://www.curecancerwithai.com/api/mcp"
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 66, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 64, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 63)

First indexed and scored.

## MCP tools (15)

### `search_oncology` (~163 tokens)

Search all oncology datasets

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.

Input parameters:

- `cancerType` (string): Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
- `limit` (integer): Max results per dataset (1–100, default 5).
- `q` (string, required): The keyword to search for, e.g. "osimertinib".
- `types` (string): Optional comma-separated datasets to narrow to: research,news,blog,fdaApprovals,clinicalTrials.

### `list_research` (~178 tokens)

List research papers

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.

Input parameters:

- `cancerType` (string): Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
- `from` (string): ISO date lower bound (e.g. 2024-01-01).
- `limit` (integer): Results per page (1–100, default 20).
- `offset` (integer): Number of results to skip (default 0).
- `search` (string): Keyword search across title and abstract.
- `to` (string): ISO date upper bound (e.g. 2024-12-31).
- `treatmentType` (string): Filter by treatment type.

### `get_research_paper` (~50 tokens)

Get a research paper

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

Input parameters:

- `idOrPubmedId` (string, required): Internal id or PubMed id, e.g. "38123456".

### `list_news` (~152 tokens)

List cancer news

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

Input parameters:

- `cancerType` (string): Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
- `from` (string): ISO date lower bound (e.g. 2024-01-01).
- `limit` (integer): Results per page (1–100, default 20).
- `offset` (integer): Number of results to skip (default 0).
- `search` (string): Keyword search across title, summary, and content.
- `to` (string): ISO date upper bound (e.g. 2024-12-31).

### `list_blog_posts` (~110 tokens)

List blog posts

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

Input parameters:

- `cancerType` (string): Filter by cancer-type tag.
- `category` (string): Filter by primary category.
- `limit` (integer): Results per page (1–100, default 20).
- `offset` (integer): Number of results to skip (default 0).
- `search` (string): Keyword search across title, excerpt, and content.

### `get_blog_post` (~44 tokens)

Get a blog post

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

Input parameters:

- `slug` (string, required): Blog post slug, e.g. "immunotherapy-breakthroughs".

### `list_fda_approvals` (~165 tokens)

List FDA approvals

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

Input parameters:

- `cancerType` (string): Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
- `from` (string): ISO date lower bound (e.g. 2024-01-01).
- `limit` (integer): Results per page (1–100, default 20).
- `offset` (integer): Number of results to skip (default 0).
- `search` (string): Keyword search across drug name, generic name, and indication.
- `to` (string): ISO date upper bound (e.g. 2024-12-31).

### `list_clinical_trials` (~119 tokens)

List clinical trials

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

Input parameters:

- `condition` (string): Filter by condition.
- `limit` (integer): Results per page (1–100, default 20).
- `offset` (integer): Number of results to skip (default 0).
- `search` (string): Keyword search across title and description.
- `status` (string): Filter by trial status, e.g. RECRUITING.

### `get_clinical_trial` (~56 tokens)

Get a clinical trial

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

Input parameters:

- `nctId` (string, required): NCT id or internal id, e.g. "NCT01234567".

### `predict_ppi` (~113 tokens)

Predict protein–protein interaction

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.

Input parameters:

- `protein_a` (string, required): Amino-acid sequence, single-letter codes (ACDEFGHIKLMNPQRSTVWY), no FASTA header.
- `protein_b` (string, required): Amino-acid sequence, single-letter codes.

### `predict_dti` (~111 tokens)

Predict drug–target interaction (pKd)

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.

Input parameters:

- `drug_seq` (string, required): Drug structure in SMILES notation.
- `norm_y_mean` (number): Optional normalization mean override.
- `norm_y_std` (number): Optional normalization standard-deviation override.
- `target_seq` (string, required): Target protein amino-acid sequence (single-letter codes).

### `predict_clintox` (~77 tokens)

Predict clinical-trial toxicity (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.

Input parameters:

- `smiles` (string, required): Compound structure in SMILES notation.

### `search_compounds` (~184 tokens)

Search pharmaceutical 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.

Input parameters:

- `examples` (array): Known drug names to find similar compounds for, e.g. ["aspirin","ibuprofen"]. Mutually exclusive with preferences.
- `include_characteristics` (boolean): Include each result’s characteristic scores in the response.
- `limit` (integer): Max results (1–100, default 20).
- `preferences` (object): Map of characteristic name to desired value on the −4…+4 scale, e.g. {"Neuroactive":3,"Immunoactive":-2}. Omit a characteristic to ignore it. Mutually exclusive with examples.

### `list_compound_characteristics` (~41 tokens)

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.

### `mammal_health` (~42 tokens)

Check MAMMAL model 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.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/hifarrer-cure-cancer-with-ai/api-mcp#diagnostics

## Score history

- 2026-08-03: 67
- 2026-08-02: 66
- 2026-08-01: 66
- 2026-07-31: 66
- 2026-07-30: 66
- 2026-07-29: 65
- 2026-07-28: 65
- 2026-07-27: 64
- 2026-07-26: 63

## Links

- Remote endpoint: https://www.curecancerwithai.com/api/mcp
- Authorisation metadata: https://www.curecancerwithai.com/.well-known/oauth-protected-resource/api/mcp
- Repository: https://github.com/hifarrer/ccwai-api
- Changelog RSS feed: https://verifymcp.io/servers/hifarrer-cure-cancer-with-ai/api-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/hifarrer-cure-cancer-with-ai/api-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/hifarrer-cure-cancer-with-ai/api-mcp