search_and_read

shallow

io.github.quantumproxies/quanticdata-mcp · Verify this server

Search the live web, fetch the top organic pages as clean Markdown, and return citation-ready numbered sources plus one token-bounded `context` string ready for an AI prompt. Use this when the goal is answering/researching, and use `search` when raw SERP structure or a specialized vertical is needed.

100.0/100

1 trials · measured 51 days ago

search_and_read scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.quantumproxies/quanticdata-mcp, measured 31 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
gated
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-31100.0shallowv0.2.0

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: search_and_read
[![Vouch score](https://vouch.tools/api/tools/d695c63d-c73f-48a8-9138-6b19e37167a0/badge.svg)](https://vouch.tools/tools/d695c63d-c73f-48a8-9138-6b19e37167a0)
search_and_read — Vouch