dev.fentz.envcp/envcp

MCPcommunity
v1.1.0dev.fentz.envcpUnknownUpdated 2mo agonpmGitHub

Encrypted environment variable vault with AI access policies, keeping secrets safe from AI agents.

Secure secrets for AI agents — local, encrypted, reference-only. Secure environment variable management for AI-assisted coding. MCP server that lets AI reference your secrets by name — never by value. Stores secrets on your machine Lets AI tools reference secrets by name instead of raw values Can sync values into files when you want Works with MCP, REST, OpenAI-compatible, and Gemini-compatible…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authordev.fentz.envcp
LicenseUnknown
Version1.1.0
Sourcemcp-registry
npm@fentz26/envcp
GitHubfentz26/EnvCP
Trust Status
A
95/100Trusted
✓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)+5/5
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · 3714169
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface9 tools · 1 privileged
Security scan✓ Cleanv1.2.0 · 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

Secure secrets for AI agents — local, encrypted, reference-only. Secure environment variable management for AI-assisted coding. MCP server that lets AI reference your secrets by name — never by value. Stores secrets on your machine Lets AI tools reference secrets by name instead of raw values Can sync values into files when you want Works with MCP, REST, OpenAI-compatible, and Gemini-compatible clients Simpler first-time setup Interactive and menus Per-variable and per-client AI rules Better…

Keywords
mcp