Compatible with every major AI agent and IDE
Create sandbox on E2B
The sandbox is an isolated Linux VM that starts in ~150ms. Use templates like "base" (default), "python3", or "node" for pre-configured environments. Default timeout is 300 seconds. Create a new isolated cloud sandbox for running code securely. Each sandbox is a Firecracker microVM with its own filesystem
Kill sandbox on E2B
The sandbox and its filesystem contents are permanently deleted. Terminate a running sandbox by its ID
List sandboxes on E2B
Useful for monitoring active environments and managing resources. List all currently active sandboxes in your E2B account
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How does E2B pricing work?
E2B uses usage-based pricing billed per second of compute time. The free Hobby plan includes a one-time $100 credit (no credit card required), up to 20 concurrent sandboxes, and 1-hour maximum session length. The Pro plan starts at $150/month with 24-hour sessions and higher concurrency limits.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
E2B Capabilities for AI Assistants
Use E2B with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
AI Semantic Routing for sandboxing
The E2B MCP integration translates natural language prompts into structured sandboxing queries. This allows agents to fetch and update superpower records securely.
Optimizing code execution with Claude
Add code execution functionality to your custom chatbots. The E2B MCP handles the payload formatting required for ChatGPT and Claude to interface with superpower endpoints.
E2B. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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