What authentication does Superserve Sandbox require?
Both the local and hosted modes use your Superserve API key for authentication.
@superserve-ai
Basic information
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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"superserve": {
"url": "https://mcp.superserve.ai",
"headers": {
"Authorization": "Bearer <YOUR_SS_LIVE_KEY>"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
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.
MCP server that allow LLM in agent mode builds n8n workflows for you
A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
A comprehensive Model Context Protocol (MCP) server providing AI assistants with powerful task management and agent memories capabilities with project-specific storage.
Multi-Agent AI Orchestration Workshop
Comments