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Zero-knowledge MCP secrets vault for AI agents: secrets injected at runtime, never seen by the model
Zero-knowledge MCP secrets vault for AI agents: secrets injected at runtime, never seen by the model
This is a well-architected MCP server for managing secrets through a zero-knowledge vault. The code demonstrates strong security practices: encryption keys are properly handled, secrets are never returned to the agent, command injection is prevented via pattern matching, and credentials are loaded securely from a local daemon rather than hardcoded. Minor code quality issues and some edge cases in SSH key handling do not materially affect the security posture. Permissions align well with the server's purpose of executing commands and syncing files with injected secrets. Supply chain analysis found 1 known vulnerability in dependencies (1 critical, 0 high severity). Package verification found 1 issue.
4 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: WUNDERVAULT_AGENT_NAME
Environment variable: WUNDERVAULT_AGENT_TOKEN
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-wundervault-wundervault-mcp": {
"env": {
"WUNDERVAULT_AGENT_NAME": "your-wundervault-agent-name-here",
"WUNDERVAULT_AGENT_TOKEN": "your-wundervault-agent-token-here"
},
"args": [
"-y",
"@wundervault/mcp-server"
],
"command": "npx"
}
}
}From the project's GitHub README.
A zero-knowledge secrets vault for AI agents. Every API key you paste into an agent chat or a .env file ends up in context windows, transcripts, and provider logs. Wundervault's answer: the agent never receives the secret at all. It asks for work — "run this deploy with the key injected" — and a local daemon decrypts the secret, injects it into the subprocess environment, zeroes the buffer, and scrubs the output before the agent sees any of it.
This repo is the MCP server that exposes that workflow to any Model Context Protocol client — Claude Code, Cursor, Cline, and others.
Don't trust the claim — test it: the zero-knowledge property is independently verifiable at your own network boundary in about 5 minutes (browser DevTools or a mitmproxy canary test). Guide + our own test transcript: wundervault.com/verify.
┌──────────────┐ MCP (stdio) ┌───────────────────┐ ciphertext only ┌───────────────────┐
│ AI agent │──────────────▶│ wundervault-mcp │◀─────────────────▶│ wundervault.com │
│ (Claude, …) │◀──────────────│ + local daemon │ │ stores encrypted │
└──────────────┘ "burned" ack │ decrypts HERE │ │ blobs, no keys │
└─────────┬─────────┘ └───────────────────┘
│ secret → subprocess env
│ (buffer zeroed after spawn)
▼
┌───────────────────┐
│ your command │ stdout/stderr scrubbed
│ (deploy, API, …) │ before the agent sees it
└───────────────────┘
Secrets are encrypted client-side (AES-256-GCM via Web Crypto) before upload. The hosted service only ever stores ciphertext — it cannot derive the key, the passphrase, or the plaintext.
npm install -g @wundervault/mcp-server
{
"mcpServers": {
"wundervault": {
"command": "wundervault-mcp",
"env": {
"WUNDERVault_AGENT_VAULT_URL": "https://wundervault.com",
"WUNDERVault_AGENT_VAULT_API_KEY": "wv_agent_<AGENT_ID>|<KEY_SUFFIX>",
"WUNDERVault_AGENT_KEY": "<BASE64_ENCRYPTION_KEY>"
}
}
}
}
Or using a credentials file:
wundervault-mcp --credentials ~/.wundervault/creds.json
New account? wundervault.com has a 90-second agent onboarding flow that generates this config for you.
"Secret retrieved and burned.".$(), backticks, sh -c, eval) and file redirects of secrets are rejected before decryption.crypto.timingSafeEqual.vault_entries_listList all vault entries available to this agent. Returns entry IDs and secret names — no values.
Input: {}
Output: "Vault entries (N):\n [entry_id] secret_name (tier: read)"
vault_entry_getRetrieve and decrypt a vault secret. Optionally execute a command with it.
Input:
entry_id: string # from vault_entries_list
purpose: string # audit log reason
exec?: string # optional shell command
Output: "Secret retrieved and burned." (plaintext NEVER returned)
Secure exec pattern (sudo example):
sudo -S systemctl restart nginx <<< "$WUNDERVault_SECRET"
Do NOT use echo $WUNDERVault_SECRET | sudo -S — that exposes the secret in process logs.
vault_execExecute a shell command with a vault secret injected as an env var — locally or on a remote host over SSH. The secret is injected into the subprocess and the buffer is zeroed immediately after spawn; escape patterns are rejected before decryption.
Input:
purpose: string # audit log reason
command: string # full shell command (no escape patterns)
entry_id?: string # secret to inject (omit for SSH-key-only remote exec)
working_dir?: string
inject_as?: { env_key, pre_command?, post_command? } # override entry's exec_config
remote_host?: { host, user, ssh_key_entry_id? | ssh_key? }
With remote_host.ssh_key_entry_id, the SSH key is fetched from the vault and used without ever being written to disk.
vault_entry_inject_envWrite a vault secret directly into a config file (~/.npmrc, ~/.netrc, ~/.docker/config.json, or a project .env) without the plaintext passing through the agent.
Input:
entry_id: string
purpose: string
file_path: string # allowed config file paths only
env_key: string # variable name to set
vault_rsyncSync a local directory to a remote host using rsync over SSH, with the SSH key fetched from the vault (temp keyfile deleted immediately after transfer).
vault_entry_forgetDiscard a local reference. No-op on the server.
Input: { entry_id: string }
Output: "Reference [id] discarded from local context."
--api-key, --enc-key, --url)WUNDERVault_AGENT_VAULT_API_KEY, WUNDERVault_AGENT_KEY, WUNDERVault_AGENT_VAULT_URL)WUNDERVault_CREDENTIALS_FILE env var (explicit path)~/.wundervault/creds.json~/.config/wundervault/credentials (XDG){
"agent_vault_url": "https://wundervault.com",
"agent_vault_api_key": "wv_agent_<ID>|<SUFFIX>",
"agent_encryption_key": "<BASE64_URL_SAFE_32_BYTES>"
}
wundervault-mcp [options]
--api-key <key> Agent API key
--enc-key <key> Encryption key (base64 URL-safe)
--url <url> API base URL (default: https://wundervault.com)
--credentials <f> Path to credentials JSON file
--help Show help
An x402 payment is just a signature, and a wallet key is a
vault secret like any other. Store the key at tier 2, have the agent sign the
payment payload through vault_exec, and the key is injected into a local signing
subprocess — it never enters the model context, and every use needs the owner's
approval first (the agent's denied call carries a request id; approval is scoped
to that agent + secret, once or for a 15/60-minute window). We ran this
end-to-end on Base Sepolia — the verified run is written up at
wundervault.com/agent-wallets.
Payment-specific policy (spend caps, payee allowlists) is not built yet:
compatible, not productized.
Set WUNDERVAULT_MOCK=1 to run the server without a wundervault-agent
daemon or any credentials. In this mode every tool call returns a representative
response clearly labelled [DEMO MODE] instead of contacting the vault — no
real secret is ever involved. This exists so you can poke at the tool surface
without an account, and so MCP directory scanners and CI
(e.g. Glama) can start the server, exercise each tool, and
validate the build with no live vault. It is off by default and is never
enabled in production.
"env": { "WUNDERVAULT_MOCK": "1" } // demo/CI only — returns fake, labelled output
git clone https://github.com/wundervault/wundervault-mcp.git
cd wundervault-mcp
npm install
npm run build # compiles TypeScript to dist/
npm test # run the test suite
Licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). See LICENSE.
Wundervault is open-core: this MCP server and the client are open source; the hosted service at wundervault.com is a commercial offering. For commercial or hosting inquiries, get in touch via wundervault.com/contact.
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