Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

Cure Cancer With AI

REMOTE · WWW.CURECANCERWITHAI.COM

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

0 this week 79 Trust /100

Last scanned (1 hour ago)

Scores higher than 79% of remote servers

Unreachable for 1 day in a row. Last reached 4 Nov 2026.

Category Health and Science

Trust breakdown (7 categories)

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. How we score → Why this is hard to score →

Endpoint Security11
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Tool Safety0
  • Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Capabilities0
  • Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified

Unverified: 5 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 0
    • Endpoint reachability: reachable → unreachable ▼ security
    • HSTS header: fail → unverified ▼ security
    • Stability: pass → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • TLS certificate: pass → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. security
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
    • First check of Schema quality: unverified functional
  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Aug 26 0
    • Stability: 0.97 → pass security
  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 31 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://www.curecancerwithai.com/api/mcp

TLS unreached
DNSSEC insecure

Validation of www.curecancerwithai.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
curecancerwithai.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Inconclusive

We could not reach the endpoint well enough to judge its authorisation posture.

Result Inconclusive

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://www.curecancerwithai.com/api/mcp Unreachable
http (plaintext) http://www.curecancerwithai.com/api/mcp HTTPS enforced
MCP tools · 15 exposed · ~1,605 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_blog_post ~44

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

NameTypeReqDescription
slugstringyesBlog post slug, e.g. "immunotherapy-breakthroughs".

No output schema declared.

No examples provided.

get_clinical_trial ~56

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

NameTypeReqDescription
nctIdstringyesNCT id or internal id, e.g. "NCT01234567".

No output schema declared.

No examples provided.

get_research_paper ~50

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

NameTypeReqDescription
idOrPubmedIdstringyesInternal id or PubMed id, e.g. "38123456".

No output schema declared.

No examples provided.

list_blog_posts ~110

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

NameTypeReqDescription
cancerTypestring–Filter by cancer-type tag.
categorystring–Filter by primary category.
limitinteger–Results per page (1–100, default 20).
offsetinteger–Number of results to skip (default 0).
searchstring–Keyword search across title, excerpt, and content.

No output schema declared.

No examples provided.

list_clinical_trials ~119

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

NameTypeReqDescription
conditionstring–Filter by condition.
limitinteger–Results per page (1–100, default 20).
offsetinteger–Number of results to skip (default 0).
searchstring–Keyword search across title and description.
statusstring–Filter by trial status, e.g. RECRUITING.

No output schema declared.

No examples provided.

list_compound_characteristics ~41

List the pharmaceutical-compound characteristics (each scored on the −4…+4 scale) that can be used as preference keys in search_compounds.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_fda_approvals ~165

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

NameTypeReqDescription
cancerTypestring–Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
fromstring–ISO date lower bound (e.g. 2024-01-01).
limitinteger–Results per page (1–100, default 20).
offsetinteger–Number of results to skip (default 0).
searchstring–Keyword search across drug name, generic name, and indication.
tostring–ISO date upper bound (e.g. 2024-12-31).

No output schema declared.

No examples provided.

list_news ~152

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

NameTypeReqDescription
cancerTypestring–Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
fromstring–ISO date lower bound (e.g. 2024-01-01).
limitinteger–Results per page (1–100, default 20).
offsetinteger–Number of results to skip (default 0).
searchstring–Keyword search across title, summary, and content.
tostring–ISO date upper bound (e.g. 2024-12-31).

No output schema declared.

No examples provided.

list_research ~178

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.

NameTypeReqDescription
cancerTypestring–Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
fromstring–ISO date lower bound (e.g. 2024-01-01).
limitinteger–Results per page (1–100, default 20).
offsetinteger–Number of results to skip (default 0).
searchstring–Keyword search across title and abstract.
tostring–ISO date upper bound (e.g. 2024-12-31).
treatmentTypestring–Filter by treatment type.

No output schema declared.

No examples provided.

mammal_health ~42

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

predict_clintox ~77

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.

NameTypeReqDescription
smilesstringyesCompound structure in SMILES notation.

No output schema declared.

No examples provided.

predict_dti ~111

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.

NameTypeReqDescription
drug_seqstringyesDrug structure in SMILES notation.
norm_y_meannumber–Optional normalization mean override.
norm_y_stdnumber–Optional normalization standard-deviation override.
target_seqstringyesTarget protein amino-acid sequence (single-letter codes).

No output schema declared.

No examples provided.

predict_ppi ~113

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.

NameTypeReqDescription
protein_astringyesAmino-acid sequence, single-letter codes (ACDEFGHIKLMNPQRSTVWY), no FASTA header.
protein_bstringyesAmino-acid sequence, single-letter codes.

No output schema declared.

No examples provided.

search_compounds ~184

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.

NameTypeReqDescription
examplesarray–Known drug names to find similar compounds for, e.g. ["aspirin","ibuprofen"]. Mutually exclusive with preferences.
include_characteristicsboolean–Include each result’s characteristic scores in the response.
limitinteger–Max results (1–100, default 20).
preferencesobject–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.

No output schema declared.

No examples provided.

search_oncology ~163

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.

NameTypeReqDescription
cancerTypestring–Filter by cancer type, e.g. lung, breast, prostate, colorectal, melanoma, leukemia, lymphoma.
limitinteger–Max results per dataset (1–100, default 5).
qstringyesThe keyword to search for, e.g. "osimertinib".
typesstring–Optional comma-separated datasets to narrow to: research,news,blog,fdaApprovals,clinicalTrials.

No output schema declared.

No examples provided.

Install

How do I install the Cure Cancer With AI MCP server?

Cure Cancer With AI is a hosted endpoint at https://www.curecancerwithai.com/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · www.curecancerwithai.com

# add to Claude Code
claude mcp add --transport http hifarrer-cure-cancer-with-ai 'https://www.curecancerwithai.com/api/mcp'
Common questions

What is the Cure Cancer With AI MCP server?

Cure Cancer With AI is an MCP server listed in the public MCP registry as io.github.hifarrer/cure-cancer-with-ai. Free oncology data (research, trials, FDA approvals, news) plus IBM MAMMAL biomedical predictions. This page covers its hosted endpoint (https://www.curecancerwithai.com/api/mcp).

Is the Cure Cancer With AI MCP server safe to use?

Cure Cancer With AI scores 79 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Cure Cancer With AI MCP server expose?

Cure Cancer With AI exposes 15 tools: search_oncology, list_research, get_research_paper, list_news, list_blog_posts, and 10 more. Their descriptions and schemas cost roughly 1,605 tokens of context every time the server is loaded.

Does the Cure Cancer With AI MCP server require authentication?

Its publisher declares that Cure Cancer With AI requires credentials, so you will need to authorise it in your MCP client. We have not been able to confirm that against the live endpoint.

Is the Cure Cancer With AI MCP server still maintained?

Cure Cancer With AI is still listed in the MCP registry, though our most recent checks did not reach this channel. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.