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  • License MIT

Blind AI to your keys — encrypted secrets vault with MCP for AI agents

Package Exports

  • keyblind
  • keyblind/dist/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (keyblind) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Keyblind — Blind AI to Your Keys

Encrypted secrets vault with MCP for AI agents. Secrets resolved at runtime, never leaked to LLM conversations.

npm version License: MIT

Why

Developers regularly leak API keys, passwords, and tokens to AI coding tools. 100,000+ LLM conversations with exposed secrets were found indexed by search engines in 2025.

AI agents read your .env files. They copy-paste secrets into conversations. They commit them accidentally. Keyblind stops this by keeping secrets encrypted at rest and resolving them at runtime — the plaintext value never touches the LLM transcript.

How It Works

┌──────────┐     ┌────────────────┐     ┌─────────────────┐
│ AI Agent │ ──→ │  Keyblind MCP  │ ──→ │  Encrypted      │
│ (Claude) │     │  Server        │     │  SQLite Vault   │
│          │ ←── │  (6 tools)     │ ←── │  (AES-256-GCM)  │
└──────────┘     └────────────────┘     └─────────────────┘
      ↑                                        │
      │ secret value never appears             │ secrets never
      │ in conversation transcript             │ stored in plaintext

Quick Start

# Install
npm i -g keyblind

# Initialize your vault
keyblind init

# Store secrets
echo "sk-proj-abc123" | keyblind set OPENAI_API_KEY
keyblind set DATABASE_URL -    # prompts securely

# Sandbox your .env (AI agents see fakes)
keyblind sandbox

# Resolve a secret
keyblind get OPENAI_API_KEY

# Run commands with secrets injected as env vars
keyblind run -- npm start

# List all secrets (names only)
keyblind list

MCP Server

Keyblind is MCP-first — it works with every AI tool that speaks the Model Context Protocol:

Claude Code, Cursor, Copilot, Windsurf, Cline, Zed — add a .mcp.json to your project root:

{
  "mcpServers": {
    "keyblind": {
      "command": "npx",
      "args": ["keyblind", "start"]
    }
  }
}

With biometric gate (Touch ID required before secrets are resolved):

{
  "mcpServers": {
    "keyblind": {
      "command": "npx",
      "args": ["keyblind", "start", "--biometric"]
    }
  }
}

Note: --biometric requires running keyblind unlock first to authenticate. Session expires after 15 minutes.

Full editor-specific configs →

MCP Tools

Tool Description
resolve_secret Resolve a secret at runtime (value hidden from transcript)
store_secret Encrypt and store a secret
list_secrets List secret names (values never revealed)
sandbox_env Replace .env values with deterministic fakes
unsandbox_env Restore real .env values from vault
delete_secret Delete a secret

Pricing

Free Pro Team
Price $0 $79/year $29/user/month
Secrets 5 Unlimited Unlimited
Local vault
Sandbox / Unsandbox
MCP server
7 backends
Team vaults
Audit log
Secret rotation
CI/CD integration
Biometric gate
Cloud backends
# Activate a Pro or Team license
keyblind activate <your-license-key>

# Check your current status
keyblind status

Coming soon: Purchase licenses at keyblind.dev. For early access, open a GitHub issue or contact the maintainer.

Backends

Keyblind supports multiple secret backends:

keyblind backends                          # List available backends
keyblind backend 1password                 # Switch to 1Password
keyblind backend bitwarden                 # Switch to Bitwarden
Backend Read Write Requires
local (default) Nothing
1password op CLI
bitwarden bw CLI
env Nothing
aws aws CLI
gcp gcloud CLI
azure az CLI

Keyblind vs Cloak

Keyblind Cloak
Protocol MCP (all editors) VS Code extension only
Storage AES-256-GCM SQLite AES-256-GCM file
Backends Local, 1Password, Bitwarden, Env Local only
Sandbox Deterministic HMAC fakes AES-256-GCM encrypted
Touch ID ✓ (macOS biometric gate)
CI/CD keyblind run for env injection
Network Zero (fully local) Zero
License MIT Proprietary
Free tier ✓ (5 secrets)
Pro $79/year (unlimited)

Security

  • AES-256-GCM encryption with PBKDF2 key derivation (600K iterations)
  • Machine-identity-bound key — encryption key XOR-wrapped with machine fingerprint
  • Zero network, zero telemetry — no cloud, no accounts, no analytics
  • Vault stored at ~/.keyblind/ with 0700 permissions
  • Deterministic sandbox fakes using HMAC-SHA256 per project + key name

CLI Reference

keyblind init                 Initialize the encrypted vault
keyblind set <name>           Store a secret (value from stdin)
keyblind set <name> -         Store a secret (prompts securely)
keyblind get <name>           Resolve and print a secret
keyblind list                 List all stored secrets
keyblind delete <name>        Delete a secret
keyblind sandbox [.env]       Replace .env with deterministic fakes
keyblind unsandbox [.env]     Restore real .env values
keyblind run <command...>     Run command with secrets as env vars
keyblind start                Start MCP server (for AI agents)
keyblind backends             List available backends
keyblind backend <name>       Switch backend
keyblind activate <key>       Activate a Pro/Team license
keyblind deactivate           Remove current license
keyblind status               Show license and vault status
keyblind audit                Show secret resolution audit log
keyblind check --expired      List secrets past expiry
keyblind rotate <name>        Update a secret value
keyblind team init [path]     Create a shared team vault
keyblind team push <name>     Push a secret to team vault
keyblind team pull            Pull secrets from team vault
keyblind team list            List secrets in team vault

Development

git clone https://github.com/aarifmms/keyblind.git
cd keyblind
npm install
npm run build       # Compile TypeScript
npm test            # Run tests
npm run dev         # Watch mode

License

MIT