io.github.OjasKord/document-integrity-validator-mcp

MCPcommunity
v1.0.2io.github.OjasKordUnknownUpdated 1mo agonpmGitHub

AI reasoning checks any document against known international standards before your agent acts on it.

Before your agent accepts, processes, or acts on any document received from an external party -- verify it is internally consistent and matches the known standard for its type. One call. Any document. Machine-readable verdict. Checks any document for internal consistency, completeness, and anomalies against the known international standard for that document type. Accepts base64 image or extracted…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.OjasKord
LicenseUnknown
Version1.0.2
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 surface2 tools · none privileged
Security scan✓ Cleanv1.0.10 · 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

Before your agent accepts, processes, or acts on any document received from an external party -- verify it is internally consistent and matches the known standard for its type. One call. Any document. Machine-readable verdict. Checks any document for internal consistency, completeness, and anomalies against the known international standard for that document type. Accepts base64 image or extracted text. Returns a structured verdict with a machine-readable field. Supported standards include: ICAO…

Keywords
mcp