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io.github.lmwharton/sieve-mcp

io.github.lmwharton/sieve-mcp·v0.1.4·Other

AI startup due diligence — screen companies across 7 dimensions, get a Sieve Score.

Trust verdict · v1 advisory · method
NOT YET SCREENEDno verdict on file

Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.

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Environment variables
SIEVE_API_KEY
requiredsecret

Your Sieve API key (get one at https://app.sieve.arceusxventures.com/settings)

MCP quality score · maturity, not trust · methodology
freshness
19
completeness
10
installability
25
documentation
15
stability
5
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