
Gatekeeper
io.github.Runestone-Labs由 GitHub 帳號 Runestone-Labs 發布v0.1.2更新於 Oct 24, 2026
Run MCP tool calls through Runestone Gatekeeper — policy enforcement, human approval, audit.
概覽
一個本機 MCP 入口,把助理的 shell、檔案寫入與 HTTP 呼叫統一交給 Runestone Gatekeeper 進行政策檢查、人工核准與稽核。
- 可以做什麼
- 透過 Gatekeeper 政策閘門執行 shell 指令(shell_exec)。經政策閘門寫入檔案(files_write)。發出受對外流量政策管控的 HTTP GET/POST 請求(http_request)。透過通用入口依名稱呼叫任意其他 Gatekeeper 工具(gatekeeper_call)。檢查 Gatekeeper 伺服器是否可連線(gatekeeper_health)。每次受控呼叫會回傳允許及輸出,或被拒絕、待核准的錯誤結果。
- 適用情境
- 當你希望助理的 shell、檔案與網路操作都經過統一的政策引擎、稽核記錄,並可能需要人工核准,而不是讓模型直接接觸系統時使用。它必須搭配正在運作的 Gatekeeper 伺服器才有意義。
- 執行需求
- 需要一個可透過 GATEKEEPER_URL(預設 Gatekeeper 伺服器。npm 套件 @runestone-labs/gatekeeper-mcp 以 stdio 執行,通常透過 npx,因此需要 Node.js。GATEKEEPER_ROLE 為必填;GATEKEEPER_AGENT_NAME 與 GATEKEEPER_RUN_ID 為選填。僅支援桌面 MCP 用戶端。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Gatekeeper,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Runestone Gatekeeper — MCP Server
An MCP server that lets any MCP client (Claude Desktop, Claude Code, Cursor, …) run real tool calls — shell, file writes, HTTP, or any Gatekeeper tool — only through Runestone Gatekeeper. Every call is policy-checked, may require human approval, and is audited. The model never touches your systems directly; Gatekeeper sits in front.
Requirements
A running Gatekeeper server (see the repo root). This package is just the MCP front door; it does nothing on its own.
Install / configure
It runs over stdio. Add it to your MCP client config, e.g. Claude Desktop
(claude_desktop_config.json):
Shared approvals for unattended agents
Local Gatekeeper and this MCP integration are free. Need a teammate to handle approvals while your agents run unattended? We're testing Gatekeeper Team at $49/month, for up to five members and five instances. The proposed Cloud service would coordinate a held action, a teammate's approval or denial, and a record of the outcome. Cloud is planned, not publicly available, and no payment is collected during this test. Only actions actually routed through Gatekeeper are covered; installing the MCP server does not cover a client's other tools.
See the proposed workflow and share your team's needs. The form also lets you optionally report a first real routed action or return use on a later day. These are manual self-reports, not verified external activation. Don't send commands or raw audit logs; this test adds no automatic usage reporting to the MCP server.
Tools
Every gated call returns one of:
- allow → the tool output.
- deny → an error result explaining why (the call did not run).
- approve → an error result saying a human must approve it in Gatekeeper; the call did not run.
Security model
This server is a policy boundary, so it is deliberately strict:
- Identity is pinned server-side. Role comes from
GATEKEEPER_ROLE; origin is fixed tomodel_inferredand taint tomcp_client. The MCP client cannot set or override actor / role / origin / taint / capability tokens via tool arguments — there is no code path from a tool argument to any of those. - Fail closed. A deny, a pending approval, or any malformed/unexpected Gatekeeper response is surfaced as an error — never as a successful result.
- No endpoint traversal. Generic tool names are validated as strict dotted
identifiers;
../, slashes, and the like are rejected before any request. - No leakage. The Gatekeeper URL and anything resembling a credential are scrubbed from error messages before they reach the client.
These invariants are covered by an adversarial test suite (src/*.test.ts).
Distribution
Published to npm as @runestone-labs/gatekeeper-mcp and listed on the MCP
Registry as io.github.runestone-labs/gatekeeper (see server.json). The MCP
Registry is in preview.
License
Apache-2.0
來源:integrations/mcp-server/README.md,提交 130d0b0
工具
0版本歷史
1- v0.1.2最新Sep 16, 2026
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