AgentSphere - First MCP-Integrated Agent-native Infra for AI Agents
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Run AI Agents Reliably, At Scale | First MCP-Integrated Cloud Sandboxes for Secure Code Execution | Seamlessly connect your MCP clients to isolated cloud sandboxes — purpose-built to execute AI-generated code and handle files securely.
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Hey everyone 👋
We’re opening up early access to AgentSphere, a secure runtime platform for executing AI-generated code inside cloud sandboxes. If you’re building with LLMs and want them to not just write code but actually run it — this is for you.
AgentSphere provides an easy way for you to launch lightweight, isolated environments in the cloud using our JavaScript SDK, Python SDK or APIs. Each sandbox behaves like a containerized runtime — Think of it as Execution-as-a-Service: no local setup, no config hell — just send a command and it runs, securely and reproducibly.
AgentSphere is integrated into the MCP ecosystem and works seamlessly with:
● Cursor
● Claude Code
● Raycast
● Gemini CLI
● and more MCP clients...
Reference Docs: https://www.agentsphere.run/docs...
The following video clips demonstrate what AgentSphere can build and help in action.
● Web Game Mario:
● Web Calculator:
● Financial Dashboard:
● Timesheet Logging App:
● Employee Survey App:
If you want to:
● Build LLM agents that actually execute code and handle data
● Use Cursor, Claude Code, Raycast, Gemini CLI, or similar MCP clients and want the output to “just run”
● Experiment with autonomous agent workflows
● Test AI-generated code in a safe, isolated environment
Want to build with AgentSphere? Register now and grab your API key in just a few clicks! 👉 https://www.agentsphere.run/
We'd love your feedback!