
MCP-warden local credential broker so AI agents never see your secrets
A local-first credential broker for the Model Context Protocol — lets any AI coding agent (Claude Code, Cursor, Cline, Codex, Continue, Zed) take real actions without ever seeing your secrets.
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A local-first credential broker for the Model Context Protocol — lets any AI coding agent (Claude Code, Cursor, Cline, Codex, Continue, Zed) take real actions without ever seeing your secrets.
The agent calls high-level tools (proxy_http); mcp-warden injects the secret server-side, executes the action, and returns only the result. Your context window stays clean. A leaked transcript leaks nothing useful.
You store a credential once in the OS keychain via the mcp-warden CLI.
You define presets — named, scoped actions (e.g. github-read, stripe-charges).
The AI agent connects to mcp-warden as an MCP server (stdio).
When the agent wants to act, it calls proxy_http with a preset name and a path/method.
mcp-warden validates the request against the preset's allow-list, injects the credential, executes, and returns only the response.
Sensitive presets trigger an approval prompt (desktop notification on Linux, TUI prompt on macOS/Windows). Opt in to time-boxed approvals per preset so one OK can cover a short burst of follow-up calls without re-prompt spam.
Every action lands in a local SQLite audit log — including a windowed decision for calls authorised by an active approval window.
The agent's context window contains zero secrets.
cargo install mcp-warden # from crates.io cargo install --path . # or from a clone
Pre-built binaries for macOS (x86_64, aarch64) and Linux (x86_64), each with a SHA-256 checksum, are attached to every GitHub release.
mcp-warden init
mcp-warden secret add gh_pat # paste your GitHub PAT when prompted
mcp-warden preset add github-read
--type http
--base-url https://api.github.com
--auth-bearer gh_pat
--allowed-methods GET
--approval auto --confirm-auto
This preset has no --allowed-paths, so every path under base_url is allowed (preset add and doctor warn about it): with a classic PAT the agent can read every private repo the token can see, so narrow it — e.g. --allowed-paths '/user/repos,/repos/OWNER/[^/]+' — or use a fine-grained PAT limited to specific repos. Patterns match the whole path, as exact strings or regexes anchored as ^(?:…)$, never as prefixes; [^/]+ is safer than .* for one segment.
Wire mcp-warden into your agent — see docs/claude-code-setup.md or docs/cursor-setup.md.
In your agent: ask "list my GitHub repos via mcp-warden". Watch the agent call list_presets, then proxy_http — and watch your PAT stay out of the prompt.
mcp-warden audit --last 5 # see what the agent did
CLI reference
Command Description
mcp-warden init Create the config directory and a template config
mcp-warden secret add <name> Store a secret (value read from stdin, never argv)
mcp-warden secret list List secret names (never values)
mcp-warden secret remove <name> Delete a secret from the keychain
mcp-warden preset add <name> ... Define a preset (--confirm-auto required for auto)
mcp-warden preset list Show all presets
mcp-warden preset test <name> Validate a preset against the current keychain
mcp-warden preset scaffold <template> (v0.3.0) Generate a preset from a built-in template (--list to discover)
mcp-warden preset from-openapi <src> (v0.3.0) Bootstrap a preset from an OpenAPI 3.x spec (URL or file)
mcp-warden approval <preset> <policy> [--window N] Set approval policy; --window N (sec) enables time-boxed approvals for prompt
mcp-warden audit [--last N | --since T] Read-only view of the audit log (append-only by design)
mcp-warden doctor [--deep] (v0.3.0 for --deep) Diagnostic summary; --deep runs safe read-only HTTP probes per preset
mcp-warden web [--port N] (v0.3.0) Local read-only web UI (binds 127.0.0.1 only)
mcp-warden mcp Run the MCP server over stdio (consumed by the AI agent)
MCP tools exposed
list_presets — read-only catalogue of available actions.
proxy_http — execute an HTTP request through a preset; allow-list validation runs before credential injection.
ssh_exec (v0.2.0) — run a shell command on an SSH host; command must match preset's anchored regex allow-list; key-based auth + host-key verification.
sftp_transfer (v0.2.0) — get/put a file over SFTP; remote path matches preset's sftp_allowed_paths, local path under $HOME or /tmp.
db_query (v0.2.0) — run a NAMED QUERY against PostgreSQL / MySQL / Redis. SQL/command is fixed at preset definition; agent supplies only query_name + positional params.
get_secret_for_env — last-resort tool when a child process must read a secret from env. Always prompts for approval, regardless of preset policy.
Claude Code plugin
For Claude Code there is a plugin that bundles the MCP server config, a skill that teaches Claude to use mcp-warden correctly (discover presets first, never ask for tokens, respect approvals, treat get_secret_for_env as a last resort) and a guided /mcp-warden:setup command. Install the binary first, then in Claude Code:
/plugin marketplace add ermoluk/mcp-warden /plugin install mcp-warden@mcp-warden
Restart Claude Code and run /mcp-warden:setup. If you previously added the server with claude mcp add, remove that entry so it isn't registered twice. Details: plugins/mcp-warden/.
Other MCP clients: see docs/claude-code-setup.md and docs/cursor-setup.md for manual setup.
Workspace split. The project is now two crates: mcp-warden-core (library — trait surfaces + shared types) and mcp-warden (binary — CLI, MCP server, executor, web UI, concrete approval transports). Alternate implementations of KeychainStore, ApprovalTransport, AuditSink, or PresetSource now depend only on mcp-warden-core and don't drag the binary's GUI/runtime stack.
Telegram approval transport wired in. The impl already existed in v0.3.0; v0.4.0 makes it actually selectable. Add to your config file (mcp-warden doctor prints its path: ~/.config/mcp-warden/ on Linux, ~/Library/Application Support/io.mcp-warden.mcp-warden/ on macOS): [approval.telegram] bot_token_secret = "tg_bot_token" # name of the keychain entry, not the token value chat_id = 123456789 # your numeric Telegram chat id timeout_seconds = 120 # optional
then mcp-warden secret add tg_bot_token (pastes the bot token into the keychain). prompt-policy presets now send Approve / Deny inline-button messages to that chat; TUI is the fallback if the Telegram prompt times out (see docs/approval-transports.md). Override at runtime with MCP_WARDEN_APPROVAL_TRANSPORT={telegram|desktop|tui}.
What's new in v0.3.0
preset scaffold — 8 built-in templates for the most common APIs (github-read, github-write, notion-read, stripe-read, openai-chat, anthropic-messages, gitea-read, cloudflare-dns). Generate a working preset in one command instead of copy-pasting from the cookbook.
preset from-openapi <url-or-file> — point it at an OpenAPI 3.0/3.1 JSON or YAML spec and it derives base_url, allowed_paths, allowed_methods, and the auth scheme (Bearer or APIKey-Header). Filter by HTTP method or tag.
doctor --deep — for each HTTP preset, runs a safe read-only probe (GET against base URL or first literal allowed path), reports ok / auth_failed / auth_ok_404 / network_error / tls_error / skipped, with elapsed time and a redacted body snippet. Skips prompt-policy presets unless --include-prompt is passed.
web — a small local-only web UI (binds 127.0.0.1, hardcoded) for browsing presets and the audit log without spawning a TUI. Read-only in this release; approval over WebSocket is on the roadmap.
Telegram approval transport — new ApprovalTransport impl that sends approval prompts to a Telegram chat with inline Approve / Deny / Approve-for-window buttons. Bot token lives in the OS keychain. Foreign-chat callbacks are rejected. Message uses protect_content: true. The wiring (selecting Telegram over Desktop / TUI in cli/mcp.rs) is a small follow-up; the impl + tests are merged.
See docs/web-ui.md for the web UI design notes.
mcp-warden's threat model and security invariants live in docs/threat-model.md. At a glance:
Apache-2.0 — permanent commitment for the OSS core. See LICENSE.
mcp-warden stays fully functional for free, forever — see our open-core commitment.
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