io.github.c64dos-png/vector-mirror

MCPcommunity
v1.0.0io.github.c64dos-pngUnknownUpdated 21d agonpmGitHub

Deterministic SVG perception for LLM agents — measures, never guesses. MCP server.

Mirror renders SVG in a real browser and reports what is actually where — in grid cells and W3C color names, with prose and structured output — and it never guesses. Spatial layout constraints become unit tests. And every tool description is a claim the server proves about itself. Built for agents that can't afford to hallucinate coordinates. When an LLM agent edits an SVG, how does it know…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
21d agoLast update
Package
Authorio.github.c64dos-png
LicenseUnknown
Version1.0.0
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 · clean+30/30
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
Dependencies60 resolved+ · none vulnerable
Tool surface
Security scan✓ Cleanv1.0.0 · 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

Mirror renders SVG in a real browser and reports what is actually where — in grid cells and W3C color names, with prose and structured output — and it never guesses. Spatial layout constraints become unit tests. And every tool description is a claim the server proves about itself. Built for agents that can't afford to hallucinate coordinates. When an LLM agent edits an SVG, how does it know whether the change worked? Today it either guesses from the source text (and hallucinates positions,…

Keywords
mcp