
Mcp Launcher
io.github.oneprofile-dev由 GitHub 帳號 oneprofile-dev 發布v2.1.1更新於 Oct 24, 2026
Single MCP hub: discover, add, audit, and govern MCP servers across every AI client.
概覽
一個本機 MCP 中樞,透過單一進入點在多個 AI 用戶端中探索、加入、稽核與治理其他 MCP 伺服器。
- 可以做什麼
- 以單一 stdio MCP 中樞執行,向外分送到你加入的每個伺服器,因此在每個 AI 用戶端只需一份設定就能曝露全部伺服器,工具名稱帶有 slug 前綴。提供 search_servers、get_server_details、add_to_stack 等探索工具,以及稽核 MCP 設定風險、加入或移除伺服器、列出目前堆疊、印出用戶端設定片段的命令列指令。guard 模式以本機原則引擎包裝另一個 MCP 伺服器並攔截工具呼叫,login 與 sync 可拉取團隊登錄設定並推送稽核結果。
- 適用情境
- 適合在多個 AI 用戶端使用 MCP 伺服器、希望只設定一次而不必反覆貼上設定的情境。也適合檢查機器上已有哪些 MCP 伺服器,以及在團隊中統一使用經過審核的伺服器清單。
- 執行需求
- 透過 npx 啟動的本機程序,需要 Node.js 18 或更新版本。僅支援桌面用戶端,沒有網頁可執行版本。稽核與中樞使用不需驗證;login 需要 CuratedMCP 帳號的登錄金鑰。選用環境變數 CURATOR_API_URL 可覆寫 API 基礎網址,CURATOR_TELEMETRY=false 可關閉遙測。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Mcp Launcher,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
curatedmcp
[npm version] [npm downloads] [License: MIT] [Node.js ≥18]
The CuratedMCP Agent. One CLI to discover, run, audit, and govern every MCP server your AI tools (Claude, Cursor, Windsurf, Copilot, Gemini) use.
Plug it in once. Add servers anytime. Audit and govern them from one place.
What you get
1. Audit (the wedge — start here)
Scans every MCP config file on your machine (Claude Desktop, Cursor, Windsurf, Claude Code, …), classifies each server against the CuratedMCP catalog, and flags:
- 🔴 HIGH — unverified or known-risky servers with credentials
- 🟡 MEDIUM — verified servers running outside catalog defaults
- 🟢 VERIFIED — known-good catalog servers
No signup, no cloud, no data leaves your machine. Logged in? Add --sync to push the result to your dashboard.
2. Run as the MCP Hub
If you use MCP servers across multiple AI clients, you've felt this pain: configure GitHub MCP in Claude Desktop, then re-do it in Cursor, then in Windsurf. New agent ships? Re-paste every config.
The agent fixes that. It's one MCP entry that fans out to every server you've added, in every AI client.
Add it to your AI client
Add servers to your stack
Restart your AI client
Tools appear with a <slug>__ prefix:
github__create_issuepostgres__queryfilesystem__read_file
3. Guard (local action firewall)
Wraps an MCP server with a local policy engine that gates every tools/call against
~/.curatedmcp/guard-policy.json. Default policy allows read, prompts on write, blocks destructive.
4. Login + sync (for teams)
Once you have a CuratedMCP account, link the CLI to it:
Sync pulls the locked-down server list approved by your team and merges it into your local stack — so every developer's machine runs the same vetted set of servers.
Config files
~/.curatedmcp/stack.json — your stack, plain JSON, hand-editable, version-controllable:
Set "disabled": true on an entry to skip it without removing it.
Other files (created on first use):
~/.curatedmcp/auth.json— login token (mode 0600)~/.curatedmcp/guard-policy.json— firewall policy~/.curatedmcp/launcher.json— anonymous client UUID
In-agent discovery
The agent itself exposes discovery tools to your AI client, so you can ask:
"Find me an MCP server for Postgres." "What's the best Stripe MCP?" "Add the Postgres MCP server to my stack."
The agent uses search_servers, get_server_details, and add_to_stack to do all of that without you leaving the chat.
Privacy
- All config is local at
~/.curatedmcp/. No cloud sync unless youlogin. - Anonymous telemetry only (event names like "search", "add"). Disable with
--no-telemetryorCURATOR_TELEMETRY=false. - Audit results stay on your machine unless you
loginand run--sync.
Compatibility
- Works with Claude Desktop, Claude Code, Cursor, Windsurf, Copilot, Gemini, OpenAI Agents — anything that supports MCP over stdio.
- Node.js ≥ 18.
Migrating from the old packages
The agent replaces three earlier packages, which are now deprecated:
A launcher bin alias is kept for back-compat.
Links
MIT licensed.
來源:README.md,提交 80f4d67
工具
0版本歷史
1- v2.1.1最新Sep 16, 2026
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