How to Use the E2B MCP in OpenAI Agents SDK

Q: Can my openai-agents-sdk agent use custom runtimes in E2B?

Yes, the createsandbox tool accepts template parameters like python3 or node. Your agent specifies the runtime environment during initialization to match the language of the code it needs to run.

Q: How does openai-agents-sdk handle E2B sandbox timeouts?

Every sandbox created via createsandbox defaults to a 300-second lifespan. If your agent does not call killsandbox before then, the E2B platform terminates the microVM automatically to stop resource leaks.

Run untrusted code in secure Firecracker microVMs directly from your OpenAI Agents SDK workflows.

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Connect E2B MCP to OpenAI Agents SDK

Create your Vinkius account to connect E2B to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup E2B with OpenAI Agents SDK

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Run code securely with OpenAI Agents SDK

The `create_sandbox` tool instantiates a secure Firecracker microVM in about 150 milliseconds to run arbitrary code. This lets your agent execute Python or JavaScript without risking host system compromise. Your agent spins up the environment on demand, runs the generated script, and gathers the output. You get raw execution results back in your agent context while keeping your production infrastructure completely isolated.

Clean up environments programmatically

The `kill_sandbox` tool terminates a running microVM and deletes its entire filesystem instantly. Your agent workflow invokes this tool to clean up resources as soon as a task finishes or hits its 300-second timeout. This prevents orphaned processes from consuming your budget. You control exactly when the execution environment dies, ensuring no residual code remains active after your agent completes its run.

Track active E2B microVMs

The `list_sandboxes` tool fetches metadata for all running sandboxes in your account. Your agent coordinator uses this MCP Server capability to monitor active environments and prevent runaway agent loops from hoarding resources. By checking this list, your orchestration layer keeps tabs on concurrent execution environments. It gives your system the visibility needed to manage scale without manual intervention.

Setup guide

Set up E2B MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all E2B tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives E2B tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate E2B tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="E2B Agent",
            instructions="You have access to E2B tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about E2B MCP in OpenAI Agents SDK

Install openai-agents via pip and configure the MCPServerStreamableHttp client with your Vinkius endpoint. Pass this server instance into your Agent constructor's mcp_servers list to enable automatic tool discovery.

Yes, the create_sandbox tool accepts template parameters like python3 or node. Your agent specifies the runtime environment during initialization to match the language of the code it needs to run.

Every sandbox created via create_sandbox defaults to a 300-second lifespan. If your agent does not call kill_sandbox before then, the E2B platform terminates the microVM automatically to stop resource leaks.

No, the SDK automatically discovers the tools when you register the MCP endpoint. You just pass the server to the agent and let the built-in tool-calling mechanism handle the rest.

E2B runs all code inside isolated Firecracker microVMs, meaning your files and terminal output never touch other users' environments. Vinkius handles the connection securely using a single endpoint token, ensuring your execution logs remain strictly private.

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