ai.nauro/nauro

MCPcommunity
v0.13.2ai.nauroUnknownUpdated 2mo agoGitHub

Decision system for AI coding agents. Surfaces what your project decided, and why, before changes.

Nauro is a decision system for agentic engineering. It keeps your project's decisions, rationale, and rejected paths in plain markdown files, then surfaces the relevant ones before an AI agent plans or changes code. It works across Claude, Cursor, Codex, Perplexity, and any MCP client. The result is persistent project judgment that travels with the work, not with a single tool or session. A…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorai.nauro
LicenseUnknown
Version0.13.2
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/20
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/5
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>" }
npm Trusted Publishing (Sigstore)+0/5
Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
npm maintainer match+0/5
Earned once your identity is verified above and that login is an npm maintainer of this package
CVE scan · clean+30/30
Static analysis · clean+20/20
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✓ Cleanv0.13.2 · 2mo 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

Nauro is a decision system for agentic engineering. It keeps your project's decisions, rationale, and rejected paths in plain markdown files, then surfaces the relevant ones before an AI agent plans or changes code. It works across Claude, Cursor, Codex, Perplexity, and any MCP client. The result is persistent project judgment that travels with the work, not with a single tool or session. A coding agent checks the project's prior decisions before it plans, then records the approved decision and…

Keywords
mcp