io.github.Fannon/u-he-preset-randomizer

MCPcommunity
v1.2.0io.github.FannonUnknownUpdated 2mo agonpmGitHub

Generate, randomize, explain, and manage u-he synthesizer presets via the Model Context Protocol.

Generate u-he synth presets through randomization and merging of your existing presets (genetics like). This tool can generate random presets in three different modes: Generate fully random presets based on real values and value distributions in your preset library Randomize existing presets, with a customizable amount of randomness Merge multiple presets together, with randomness introduced by…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.Fannon
LicenseUnknown
Version1.2.0
Sourcemcp-registry
npmu-he-preset-randomizer
GitHubFannon/u-he-preset-randomizer
Trust Status
A
95/100Trusted
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
✓npm provenance (Sigstore)+5/5
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · 185c5c5
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface14 tools · none privileged
Security scan✓ Cleanv1.2.0 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Generate u-he synth presets through randomization and merging of your existing presets (genetics like). This tool can generate random presets in three different modes: Generate fully random presets based on real values and value distributions in your preset library Randomize existing presets, with a customizable amount of randomness Merge multiple presets together, with randomness introduced by different ratios between them. The randomization / merging approach is very generic as it analyzes…

Keywords
mcp