mcp-gatehouse
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
**Permission tiers, approval gates, and audit logging for MCP servers.**
The server is the gatekeeper: you decide what an AI can read, what it can
write, and what's off-limits — and every action gets logged.
Most MCP servers hand the model every tool at full strength and keep no
record of what it did. That's fine for a demo. It's not fine the day an
agent has write access to your CRM, your books, or your order system.
mcp-gatehouse is the missing gate, enforced **inside** the server — no
proxy, no external policy service, no dependencies beyond the official
mcp SDK.
What you get
| | |
|---|---|
| **Permission tiers** | Every tool is declared READ, WRITE, or DESTRUCTIVE — and the tier also emits honest spec ToolAnnotations (readOnlyHint / destructiveHint), which the wrapper won't let you override to lie. |
| **Approval gates** | Tiers you choose require a sign-off before the tool runs. Your approver is any callable — a terminal prompt, a Slack ping, a ticket. **Fails closed:** a gated tool with no approver configured is denied, not waved through. |
| **Audit log** | Append-only JSONL, one line per call — allowed, denied, or failed — with UTC timestamps and durations. The answer to "what did the AI actually do?" six months later. |
| **Redaction** | Argument keys you name (api_key, password, token, client_secret, … by default) are masked before they reach the log *or* the approver — however they're spelled: apiKey, API-Key and api_key are the same key. |
| **Denylist** | Block a tool outright, whatever its tier. |
Quickstart
That's the whole integration: build your MCPServer exactly as the
SDK docs show, but register tools through the gatehouse. Schema generation
(including Annotated[..., Field(description=...)] parameter docs),
transports, and everything else work unchanged — the guard preserves the
function's signature. Sync tools still run in a worker thread, exactly as
they would on a bare MCPServer.
terminal_approver asks on the controlling terminal (/dev/tty), never
stdin — over stdio, stdin *is* the protocol pipe, so a plain input()
approver would corrupt it. An approver is any callable, sync or async,
that takes an ApprovalRequest and returns True to allow; sync ones run
in a worker thread, so a human taking their time doesn't stall other calls.
If the approver raises (Slack down, ticket API timing out), the call is
denied and the failure is logged.
Under the default policy, DESTRUCTIVE requires approval and everything
is audited. Gate writes too with one line:
Add your own secret-bearing keys without losing the defaults:
What the audit trail looks like:
Try the demo
The package ships a runnable order-desk server with all three tiers wired
up and a terminal-prompt approver. Add it to any MCP client that speaks
stdio — for Claude Desktop, in claude_desktop_config.json:
Or run mcp-gatehouse-demo yourself after pip install mcp-gatehouse.
Ask the model to list the orders and cancel one, then watch the verdict
land in the audit log either way. The audit log goes to --audit-log, else
$MCP_GATEHOUSE_AUDIT_LOG, else ./audit.jsonl — falling back to
~/.mcp-gatehouse/audit.jsonl when the working directory isn't writable