data.upload

shallow

io.github.nimbusbci/nimbus-mcp · Verify this server

Upload an EEG file (.edf/.bdf/.mat/.csv/.txt/.tsv/.h5/.hdf5, <=500MB) to the backend and get the registered path for a custom_data node. sampling_rate (Hz, e.g. 250.0) is REQUIRED for plain CSV/TSV/TXT files without embedded metadata — the backend silently assumes 250 Hz otherwise, which mis-times epochs, filters and spectral features. format overrides extension-based detection (auto, mat, csv, tsv, txt, edf, bdf, h5, hdf5).

100.0/100

1 trials · measured 1 day ago

data.upload scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.nimbusbci/nimbus-mcp, measured 18 Oct 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
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-10-18100.0shallowv0.2.0

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.

Embed this score

Available for every tool, scored or not — not a verification perk. Always links back to this page.

Vouch score: data.upload
[![Vouch score](https://vouch.tools/api/tools/cb815aed-9997-4910-a0b0-883700b72749/badge.svg)](https://vouch.tools/tools/cb815aed-9997-4910-a0b0-883700b72749)
data.upload — Vouch