com.ontoramp/decision-intelligence

MCPcommunity
v1.0.1com.ontorampUnknownUpdated 23d agoGitHub

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

The only MCP server that lets any AI agent log, evaluate, and ground a consequential decision against an organization's actual documented authority graph — before acting. Problem: Consequential decisions made with AI assistance are invisible, ungoverned, and untraceable. There is no record. No authority check. No precedent lookup. No audit trail. Solution: Log, evaluate, and ground every…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
23d agoLast update
Package
Authorcom.ontoramp
LicenseUnknown
Version1.0.1
Sourcemcp-registry
GitHubMatthewDavisAIArchitect/ontoramp-decision-intelligence
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

The only MCP server that lets any AI agent log, evaluate, and ground a consequential decision against an organization's actual documented authority graph — before acting. Problem: Consequential decisions made with AI assistance are invisible, ungoverned, and untraceable. There is no record. No authority check. No precedent lookup. No audit trail. Solution: Log, evaluate, and ground every consequential AI-assisted decision against your organization's authority graph. Creates a traceable decision…

Keywords
mcp