MCP Server
Zetesis Scientific Due Diligence
io.github.reutavidan/zetesis
What this MCP does
Scopes, retrieves evidence for, and evaluates scientific, biomedical, clinical, and AI/ML claims with cited public sources and verifiable attestations.
Capabilities
Tools
4
tools
evaluate_claim
Evaluate a scientific or AI claim
Run Zetesis's graded reading of a scientific, biomedical, clinical, or AI/ML claim.
Grades each evidence dimension and returns an overall reading, with every source
cited by hard public id (PMID, DOI, NCT, NIH grant, SEC filing). Covers drug,
omics, target-validation, diagnostic, and AI-model claims.
Runs the hosted engine end to end and typically takes a couple of minutes, long
enough that some clients background or time out the call. The output is Zetesis's
own reading as a finished artifact. zetesis_scope and zetesis_evidence return the
same dated sources and the same grading rubric immediately and without running a
model, at full source depth rather than abstract level.
A signed, independently re-checkable dossier is available by request at the
Zetesis site.
Args:
claim: the claim to evaluate, in one or two sentences.
context: optional background (stage, field, the decision at hand).
documents: optional source text (a deck, abstract, or paper).
as_of: year the claim was made. Set it for any claim that is not brand new.
It restricts evidence to what existed then, which both keeps later
outcomes out of the reading and sharply improves what is retrieved: left
open, a pivotal trial report competes with every paper published since
and gets buried.
Read only
Open world
Input schema
{'type': 'object', 'title': 'evaluate_claimArguments', 'required': ['claim'], 'properties': {'as_of': {'type': 'integer', 'title': 'As Of', 'default': 0, 'description': 'Year the claim was made. Set it for any claim that is not brand new: it restricts evidence to what existed then, which keeps later outcomes out of the reading and sharply improves what is retrieved.'}, 'claim': {'type': 'string', 'title': 'Claim', 'description': 'The claim to evaluate, in one or two sentences.'}, 'context': {'type': 'string', 'title': 'Context', 'default': '', 'description': 'Optional background: stage, field, or the decision at hand.'}, 'documents': {'type': 'string', 'title': 'Documents', 'default': '', 'description': 'Optional source text to evaluate against, such as a deck, abstract or paper.'}}}
Output schema
{'type': 'object', 'title': 'evaluate_claimOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
verify_attestation
Verify a Zetesis attestation
Verify a Zetesis attestation, confirming an evaluation's claim, evidence, and
conclusion have not been altered since it was signed. Use when someone has a
Zetesis dossier or attestation and wants to independently re-check it.
Args:
attestation_json: the full attestation object as JSON text.
Read only
Open world
Input schema
{'type': 'object', 'title': 'verify_attestationArguments', 'required': ['attestation_json'], 'properties': {'attestation_json': {'type': 'string', 'title': 'Attestation Json', 'description': 'The full Zetesis attestation object, as JSON text.'}}}
Output schema
{'type': 'object', 'title': 'verify_attestationOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
zetesis_evidence
Retrieve dated public evidence for a claim
Step 2 of a Zetesis evaluation. Runs the search queries against public evidence
sources (Europe PMC, ClinicalTrials.gov, openFDA, and optionally NIH RePORTER and SEC
EDGAR) and returns a deduplicated bundle where every source carries a hard public id,
followed by the Zetesis grading rubric so you can grade the dimensions yourself.
With as_of set, retrieval is fenced to sources published, registered, or filed on or
before 31 December of that year, and two fields that leak later outcomes are
suppressed: a trial's present-day status, and FDA labels effective after the cutoff.
That makes it possible to judge a claim on what was actually knowable at the time.
Runs no model, costs nothing, and returns immediately. Takes the queries worked
out when the claim was scoped.
Args:
queries: 3 to 6 short keyword phrases. Query 1 should be the bare name of the
thing claimed about (a drug, compound code, model, or gene); query 2 that
name plus at most two outcome words. Longer phrases retrieve commentary
rather than the primary report.
If the claim names no agent at all (a behaviour, diet, procedure, exposure
or policy), anchor on the field's own technical term instead of the lay one
("time restricted eating", not "intermittent fasting"), pair it with the
outcome as the field measures it, and allow one design word such as
crossover or randomized in one later query. Without an entity name that
design word is the only thing separating a trial report from a review of
trial reports.
as_of: optional cutoff year, as used in zetesis_scope.
include_capital: also retrieve funding and public-filing signal.
Read only
Open world
Input schema
{'type': 'object', 'title': 'zetesis_evidenceArguments', 'required': ['queries'], 'properties': {'as_of': {'type': 'integer', 'title': 'As Of', 'default': 0, 'description': 'Year the claim was made. Set it for any claim that is not brand new: it restricts evidence to what existed then, which keeps later outcomes out of the reading and sharply improves what is retrieved.'}, 'queries': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Queries', 'description': 'Three to six short keyword phrases. Query 1 should be the bare name of the thing claimed about; query 2 that name plus at most two outcome words.'}, 'include_capital': {'type': 'boolean', 'title': 'Include Capital', 'default': False, 'description': 'Also retrieve funding and public filing signal from NIH RePORTER and SEC EDGAR.'}}}
Output schema
{'type': 'object', 'title': 'zetesis_evidenceOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
zetesis_scope
Scope a claim for evaluation
Scope a scientific, biomedical, clinical, or AI/ML claim for evaluation.
Returns three things: the source catalog, meaning where the evidence for this
claim class lives; the diligence apparatus for that class, meaning the questions
a domain reviewer asks and the failure patterns that have caught comparable
claims before; and the scoping rubric used to work out which evidence dimensions
bear on this particular claim and what to search for.
Applies to a research claim, a study, a paper, an abstract, a preprint, a grant or
a pitch, and to checking a paper or statistic before relying on it.
Runs no model, costs nothing, and returns immediately. The queries worked out from
its output are what zetesis_evidence takes as input. With as_of set, the apparatus
and rubric are framed for judging the claim as it stood at the end of that year.
Args:
claim: the claim to evaluate, in one or two sentences.
context: optional background (stage, field, the decision at hand).
as_of: optional year. Set it to evaluate the claim as it stood at the end of that
year, grading how it was derived at the time rather than how it turned out.
claim_class: optional override for the routed claim class. The response lists
every class; pass one back if the routing picked wrongly, or if nothing
routed.
Read only
Open world
Input schema
{'type': 'object', 'title': 'zetesis_scopeArguments', 'required': ['claim'], 'properties': {'as_of': {'type': 'integer', 'title': 'As Of', 'default': 0, 'description': 'Year the claim was made. Set it for any claim that is not brand new: it restricts evidence to what existed then, which keeps later outcomes out of the reading and sharply improves what is retrieved.'}, 'claim': {'type': 'string', 'title': 'Claim', 'description': 'The claim to evaluate, in one or two sentences.'}, 'context': {'type': 'string', 'title': 'Context', 'default': '', 'description': 'Optional background: stage, field, or the decision at hand.'}, 'claim_class': {'type': 'string', 'title': 'Claim Class', 'default': '', 'description': 'Optional override for the routed claim class. The response lists every class; pass one back if the routing picked wrongly.'}}}
Output schema
{'type': 'object', 'title': 'zetesis_scopeOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
History
Recent tool changes
Added
verify_attestation
Sept. 17, 2026, 12:49 p.m.
Added
zetesis_evidence
Sept. 17, 2026, 12:49 p.m.
Added
zetesis_scope
Sept. 17, 2026, 12:49 p.m.
Added
evaluate_claim
Sept. 17, 2026, 12:49 p.m.
Discover
Similar MCP servers
Pubmed
io.github.pipeworx-io/pubmed
Provides PubMed biomedical literature search and retrieval, including abstracts, full text where available, citation metadata, re…
Europepmc
io.github.pipeworx-io/europepmc
Searches and retrieves biomedical literature from Europe PMC, including abstracts, full records, citations, publication metadata,…
Chembl
io.github.pipeworx-io/chembl
Queries the ChEMBL drug-discovery database for molecules, mechanisms of action, indications, targets, and small-molecule bioactiv…
Biorxiv
io.github.pipeworx-io/biorxiv
Provides bioRxiv and medRxiv preprint metadata, publication status, and publisher lookups, alongside broader structured research …
Catnap
io.github.pipeworx-io/catnap
Searches LANL HIV immunology and CATNAP databases for antibody metadata, neutralization measurements, epitopes, binding sites, an…
Claidex MCP
com.claidex/failure-intelligence
Searches biomedical claims, clinical trials, drug databases, adverse-event data, literature, preprints, and failure-risk analyses.
raras
io.github.rarasAI/raras
Provides a source-grounded rare-disease knowledge graph covering diseases, phenotypes, genes, drugs, literature, clinical trials,…
Cure Cancer With AI
io.github.hifarrer/cure-cancer-with-ai
Provides oncology research, clinical trial, FDA approval, news, and compound data, along with biomedical predictions for toxicity…