How secure are E2B sandboxes?

E2B sandboxes run as dedicated Firecracker microVMs — the same technology used by AWS Lambda and Fargate. Each sandbox has its own Linux kernel, filesystem, and network stack, providing hardware-level isolation. Code running in a sandbox cannot access your host system, other sandboxes, or any external resources unless explicitly configured.

What programming languages are supported?

E2B supports Python, JavaScript/TypeScript, R, Java, and Bash out of the box. You can also create custom sandbox templates with any pre-installed tools, libraries, or system dependencies. The base template provides a full Ubuntu Linux environment where you can install anything via apt or pip.

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.

E2B MCP Server for Google ADK 3 tools — connect in under 2 minutes

Name: E2B
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add E2B as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="e2b_agent",
    instruction=(
        "You help users interact with E2B "
        "using 3 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About E2B MCP Server

Connect your AI agent to E2B — the leading sandbox platform for AI code execution, trusted by OpenAI, Anthropic, and thousands of AI companies.

Google ADK natively supports E2B as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Create Sandboxes — Spin up isolated Linux environments in ~150ms. Each sandbox is a Firecracker microVM with its own kernel, filesystem, and network
List Sandboxes — Monitor all active sandbox environments, their templates, and resource usage
Kill Sandboxes — Terminate environments when done to release resources and reduce costs

The E2B MCP Server exposes 3 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect E2B to Google ADK via MCP

Follow these steps to integrate the E2B MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 3 tools from E2B via MCP

Why Use Google ADK with the E2B MCP Server

Google ADK provides unique advantages when paired with E2B through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with E2B

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine E2B tools with BigQuery, Vertex AI, and Cloud Functions

E2B + Google ADK Use Cases

Practical scenarios where Google ADK combined with the E2B MCP Server delivers measurable value.

Enterprise data agents: ADK agents query E2B and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine E2B tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query E2B regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including E2B

E2B MCP Tools for Google ADK (3)

These 3 tools become available when you connect E2B to Google ADK via MCP:

create_sandbox

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

The sandbox and its filesystem contents are permanently deleted. Terminate a running sandbox by its ID

list_sandboxes

Useful for monitoring active environments and managing resources. List all currently active sandboxes in your E2B account

Example Prompts for E2B in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with E2B immediately.

"Create a Python sandbox so I can run a data analysis script."

"Show me all my running sandboxes."

"Kill sandbox sbx_ghi789 — I'm done with it."

Troubleshooting E2B MCP Server with Google ADK

Common issues when connecting E2B to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

E2B + Google ADK FAQ

Common questions about integrating E2B MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.