ai_search

shallow

io.github.deficlow/hyperstore-mcp · Verify this server

Natural-language semantic search powered by embeddings. Best for fuzzy intent ('a tool that helps me write Python tests', 'something like Midjourney but free'). Returns up to 12 apps ranked by semantic similarity.

100.0/100

1 trials · measured 8 days ago

ai_search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.deficlow/hyperstore-mcp, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote + stdio
Credential class
open
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: ai_search
[![Vouch score](https://vouch.tools/api/tools/629f99a5-6b79-49f7-88cd-ac0e82021bc8/badge.svg)](https://vouch.tools/tools/629f99a5-6b79-49f7-88cd-ac0e82021bc8)
ai_search — Vouch