search_memes

shallow

io.github.connerlambden/helium-mcp · Verify this server

Search Helium's meme database by text (OCR + caption). Returns matching memes ranked by relevance. Each result includes: - id, caption, ocr (text extracted from the image) - image: full URL to the meme image - source: origin platform (e.g. 'reddit') - num_likes: likes/upvotes on the original post - date, is_video, rank Args: query: Search keywords (required). Matched against OCR text and captions. limit: Max results (1-100, default 20). days_back: Only include memes from the last N days. 0 means no date filter (default).

100.0/100

1 trials · measured 8 days ago

search_memes scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.connerlambden/helium-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
open
Category
Content & media
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: search_memes
[![Vouch score](https://vouch.tools/api/tools/e088cfd1-52c9-4507-951d-c3632cd4b4dc/badge.svg)](https://vouch.tools/tools/e088cfd1-52c9-4507-951d-c3632cd4b4dc)
search_memes — Vouch