What authentication does Superserve Sandbox require?
Both the local and hosted modes use your Superserve API key for authentication.
@superserve-ai
基本情報
The Superserve MCP server lets any MCP client create and control isolated cloud sandboxes - each one a Firecracker microVM that boots in seconds. Your agent can run shell commands, read and write files, install dependencies, and expose a running server as a public preview URL, th
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"superserve": {
"url": "https://mcp.superserve.ai",
"headers": {
"Authorization": "Bearer <YOUR_SS_LIVE_KEY>"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
Superserve Sandbox is an MCP server that lets any MCP client create and control isolated cloud sandboxes. Each sandbox is a Firecracker microVM that boots in seconds, and agents can run shell commands, read and write files, install dependencies, and expose running servers as public preview URLs. Secrets are brokered by the platform so credentials never pass through the model, and outbound network access is controllable per sandbox.
Run it locally with npx -y @superserve/mcp or connect to the hosted endpoint at mcp.superserve.ai – both require your Superserve API key for authentication. Works with Claude, Cursor, VS Code, Windsurf, and Codex.
Both the local and hosted modes use your Superserve API key for authentication.
It works with Claude, Cursor, VS Code, Windsurf, and Codex.
You need Node.js to run the local version via `npx`; the hosted endpoint is available without local dependencies.
You can pause or delete the sandbox when done.
Outbound network access can be controlled per sandbox, and secrets are brokered by the platform so credentials never pass through the model.
This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
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AI-powered n8n workflow automation through natural language. MCP server enabling Claude AI & Cursor IDE to create, manage, and monitor workflows via Model Context Protocol. Multi-instance support, 17 tools, comprehensive docs. Build workflows conversationally without manual JSON
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