keyward
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
keyward is an open-source, local, encrypted secret broker for AI coding agents. Instead of pasting API keys into chat (where they leak into context and transcripts) or re-entering the same key in every new session, project, and IDE, you keep your keys in one encrypted vault. When Claude Code, Cursor, Gemini CLI, or any MCP-capable tool needs a key, it requests it by name, you approve that single request in a native OS prompt, and keyward injects only that key into your project. The model never receives the value.
The problem
Leaking keys into AI chat — paste a key into a prompt and it lands in context, transcripts, and logs.
Re-entry tax — you type the same key again in every new session, project, IDE, and machine.
Scattered
.envfiles — no single source of truth; you forget which key lives where.Zero control — an agent can read or grab every secret at once instead of the one it needs.
Tool lock-in friction — switch IDE or model and you redo all key setup.
Related MCP server: stillvault-mcp
How it works
AI tool ──request_key("STRIPE_KEY", project)──▶ keyward ──native approval──▶ you
│ approved
◀── "injected STRIPE_KEY → ./.env" ─────────┘ (value never shown to the model)Vault — an age-encrypted file (
~/.keyward/vault.age,0600). The master key lives in the OS keystore (macOS Keychain / Windows Credential Manager / Linux libsecret), never on disk in plaintext.Two faces — an MCP server (
list_keys,request_key) for AI tools, and akeywardCLI for everything else.Out-of-band approval — the approval dialog is fired by keyward itself, not rendered in the agent's stream, so the agent cannot auto-approve. Choose Approve once, Approve for session, or Deny.
Value-free by construction —
list_keysreturns names only;request_keyreturns a confirmation; the audit log records the decision but never the value.
Install
# Homebrew (macOS / Linux)
brew install arturayupov/tap/keyward
# Scoop (Windows)
scoop bucket add arturayupov https://github.com/arturayupov/scoop-bucket
scoop install keyward
# Go
go install github.com/arturayupov/keyward/cmd/keyward@latestPre-built binaries (macOS/Windows/Linux, amd64+arm64) are also attached to each release. See INSTALL.md for per-OS notes (incl. Linux libsecret) and TROUBLESHOOTING.md if something doesn't work.
Quickstart
# 1. create the encrypted vault (master key goes into your OS keystore)
keyward init
# 2. import keys you already have scattered in .env files
keyward import ~/projects
# 3. point your AI tool at keyward's MCP server (see below), then just ask:
# "use my STRIPE_KEY for this project" → approve the prompt → doneUse it as an MCP server
keyward is a standard stdio MCP server, registered the same way as the official MCP servers. Two steps:
1. Install the binary (once) — go install above, or Homebrew/Scoop (soon),
or a release binary.
2. Register it with your AI tool:
# Claude Code — one command:
claude mcp add keyward -- keyward serve-mcpOr add it to the config by hand (~/.claude.json, or a project .mcp.json):
{ "mcpServers": { "keyward": { "command": "keyward", "args": ["serve-mcp"] } } }Cursor, Windsurf, Cline, and other MCP clients use the same command/args
shape in their MCP settings. Restart the tool and ask it to use a key by name.
Why not "paste a repo URL"? No MCP client auto-installs a server from a GitHub link — by design, clients won't run arbitrary remote code. keyward is also intentionally local (it needs your OS keystore and writes to your local files), so it isn't a remote/hosted URL server. The two steps above are the standard, secure install path. Full walkthrough in USAGE.md.
CLI reference
Command | Description |
| Create the encrypted vault and master key |
| Import secrets from |
| Add/update one secret, value read from stdin (for non- |
| List key names and namespaces (never values) |
| Inject one key into a target env file (prompts for approval) |
| Run the MCP server over stdio |
Security model
The secret value is never returned to the AI agent —
request_keyinjects it into a target file and returns only a confirmation.The value is never written to the audit log (
~/.keyward/audit.jsonlrecords tool, key, namespace, target, decision — no value) and never printed byls/inject.Approval is out-of-band: a native OS dialog the agent cannot click. All dialog backends fail closed — any error or cancellation is a Deny.
The vault is encrypted at rest with
age; the master key lives in the OS keystore.
These invariants are enforced by automated tests. Details and threat model in SECURITY.md.
How it compares
keyward | envchain | pass / sops | 1Password CLI | |
Encrypted local store | ✅ | ✅ (Keychain) | ✅ | ✅ (cloud) |
Agent requests a key by name | ✅ | ❌ | ❌ | ❌ |
Per-request human approval | ✅ | ❌ | ❌ | ❌ |
Value never reaches the model | ✅ | n/a | n/a | n/a |
MCP server for AI tools | ✅ | ❌ | ❌ | ❌ |
Open source | ✅ (MIT) | ✅ | ✅ | ❌ |
The encrypted-storage problem is solved; keyward adds the missing agent-facing, approval-gated broker on top. See docs/comparisons for honest long-form comparisons (including when each alternative is the better choice).
Roadmap
Full detail in ROADMAP.md. Highlights:
v0.2 — signed/notarized binaries (no keystore prompt), Homebrew/Scoop, biometric approval (Touch ID / Windows Hello), Windows ACL hardening.
v1.0 — tray/menubar app, per-key policy & allowlists, rotation reminders,
target: "env"injection.v2.0 — encrypted multi-device sync (user-owned backend), team mode.
Contributing
Contributions welcome — see CONTRIBUTING.md. Found a security issue? See SECURITY.md for responsible disclosure.
License
MIT © 2026 Artur Ayupov
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
This server cannot be deployed
Maintenance
Related MCP Connectors
Password vault for AI agents with scoped, user-approved access
A secret store for AI agents: the agent never sees the plaintext.
Encrypted secret store and rotation for autonomous agent credentials
Credential broker for AI agents: scoped, revocable API access with policy enforcement and audit.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables LLM agents to securely use credentials like passwords and API keys without exposing them in the context window, through encrypted storage and proxy-based injection.8 npm3MIT
- AlicenseAqualityDmaintenanceEnables AI agents to securely use real secrets (API keys, database passwords) by requiring human approval for each release, ensuring secrets never enter the model's context.2Apache 2.0

agentkeys-mcpofficial
AlicenseNot gradedqualityDmaintenanceEnables AI agents to securely manage API credentials and make proxied API calls through AgentKeys, keeping secrets hidden from the agent.12 npmMIT- AlicenseNot gradedqualityBmaintenanceSecure, encrypted API key management for AI coding agents, enabling search, inspection, and use of credentials with scoped permissions and optional zero-knowledge decryption.MIT