io.github.fasuizu-br/image-tools

MCPcommunity
v1.1.0io.github.fasuizu-brUnknownUpdated 4mo agoGitHub

Background removal, 4x upscaling, and face restoration via GPU

Production AI APIs for speech, text, image, and LLM inference. Available as REST endpoints and MCP servers for AI agents. Full API reference for LLMs: | Product | Endpoints | Latency | Notes | ---------|-----------|---------|-------| Pronunciation Assessment | | <500ms | 17MB ONNX, per-phoneme scoring (39 ARPAbet) | Text-to-Speech | | <1s | 12 voices (American + British), 24kHz WAV |…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.fasuizu-br
LicenseUnknown
Version1.1.0
Sourcemcp-registry
Trust Status
B
60/100Good
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 · not run+0/30
Not yet scanned — package must be on npm
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 19d 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

Production AI APIs for speech, text, image, and LLM inference. Available as REST endpoints and MCP servers for AI agents. Full API reference for LLMs: | Product | Endpoints | Latency | Notes | ---------|-----------|---------|-------| Pronunciation Assessment | | <500ms | 17MB ONNX, per-phoneme scoring (39 ARPAbet) | Text-to-Speech | | <1s | 12 voices (American + British), 24kHz WAV | Speech-to-Text | | <500ms | Compact 17MB model, English, word timestamps | Whisper Pro | | <3s | 99 languages,…

Keywords
mcp