semantic_search

shallow

ai.specproof/specproof-mcp · Verify this server

Perform semantic search using vector embeddings with FAISS acceleration. Args: query: Natural language search query (required) max_results: Maximum number of results to return (default: 5, max: 20) similarity_threshold: Minimum similarity threshold 0.0-1.0 (default: 0.3) index_type: FAISS index type - "hnsw", "ivf", or "flat" (optional, auto-selected)

100.0/100

1 trials · measured 8 days ago

semantic_search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.specproof/specproof-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
Credential class
self-provisionable
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: semantic_search
[![Vouch score](https://vouch.tools/api/tools/52508699-5524-4f02-959c-91de3a628a93/badge.svg)](https://vouch.tools/tools/52508699-5524-4f02-959c-91de3a628a93)
semantic_search — Vouch