# E2B MCP for AI Agents AI Agent Connect

> E2B provides secure cloud sandboxes for AI code execution. It lets your agent run Python, JavaScript, and shell commands in isolated Firecracker microVMs with 150ms cold starts. It's built for speed and safety.

## Overview
- **Category:** superpower
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_3CRPqmTDsCByQOyZDcriXUCwkogoOvQeH8PdgsKD/ai-agent-connect
- **Tags:** sandboxing, code-execution, micro-vms, firecracker, ai-agents, isolated-environment

## Description

E2B is the leading sandbox platform for AI code execution, and this Connector connects your agent to it. Instead of letting an AI run commands on your desktop, you can spin up a dedicated Linux environment that lives in the cloud. It handles the heavy lifting of isolation, meaning your agent can test scripts, run data analysis, or execute shell commands in a sandbox that gets destroyed once the job is done. You'll get environments that start almost instantly, whether you need a basic setup or something pre-configured with Python or Node.js. It's a standard part of the modern AI stack for anyone who needs to move beyond just generating text to actually performing tasks. You can find this and other high-quality connectors in the Vinkius catalog to build out your agent's capabilities quickly. By using this Connector, you remove the need to manually set up environments or worry about security vulnerabilities. Your agent gets a clean slate every time it needs to run a script, and you get peace of mind knowing that the execution is completely isolated. Whether you're building a tool for students or a pipeline for data scientists, E2B provides the infrastructure to make your agent functional in the real world.

## Tools

### create_sandbox
Use create_sandbox to spin up a new isolated cloud sandbox. This provides your agent with a fresh Linux environment that starts in 150ms.

### kill_sandbox
Use kill_sandbox to permanently delete a sandbox and its files. This releases resources and helps you keep your costs down.

### list_sandboxes
Use list_sandboxes to see all active environments in your account. It helps you monitor resource usage and keep track of what's running.

## Prompt Examples

**Prompt:** 
```
Create a Python sandbox so I can run a data analysis script.
```

**Response:** 
```
Sandbox created successfully!

| Sandbox ID | Template | Status | Info |
|---|---|---|---|
| `sbx_abc123` | python3 | running | Timeout: 300s |

Your sandbox is ready. It's an isolated Linux environment with Python 3.11 pre-installed. Use the sandbox ID to execute code.
```

**Prompt:** 
```
Show me all my running sandboxes.
```

**Response:** 
```
Found 3 active sandboxes:

| Sandbox ID | Template | Status | Info |
|---|---|---|---|
| `sbx_abc123` | python3 | running | Started: 5min ago |
| `sbx_def456` | node | running | Started: 12min ago |
| `sbx_ghi789` | base | running | Started: 1h ago |
```

**Prompt:** 
```
Kill sandbox sbx_ghi789 — I'm done with it.
```

**Response:** 
```
Sandbox terminated successfully!

| Sandbox ID | Status | Info |
|---|---|---|
| `sbx_ghi789` | killed | Sandbox terminated — resources released |
```

## Capabilities

### Spin up isolated Linux environments
E2B creates a private Linux VM for your agent to use as a workspace.

### Monitor active sandbox statuses
E2B lets you see every environment currently running in your account.

### Permanently delete finished environments
E2B wipes out sandboxes and their files to keep your costs down.

### Run Python scripts in pre-configured environments
E2B handles the setup for Python so your agent can run data scripts immediately.

### Execute shell commands securely in the cloud
E2B provides a safe way for your agent to interact with a terminal.

## Use Cases

### Safety first for local scripts
An agent writes a script to clean up files. Instead of running it locally, it uses create_sandbox to run it in a sandbox first.

### Automated data analysis
A user wants to process a CSV. The agent spins up a python3 environment, runs the analysis, and reports the summary.

### Secure student labs
A platform lets students write code. The agent executes it in a sandbox so students can't mess with the host system.

### Isolated web app testing
An agent needs to test a web app. It creates a sandbox, installs dependencies, and runs the test suite.

## Benefits

- Move code execution out of your local environment and into isolated Firecracker microVMs using create_sandbox.
- Get nearly instant results with 150ms cold starts when your agent needs to jump into a new task.
- Keep your infrastructure safe because each sandbox has its own kernel and filesystem, completely separated from your data.
- Save on costs by using kill_sandbox to wipe out environments the moment your agent finishes its task.
- Ensure reproducibility for data science projects by using pre-configured templates like node or python3.

## How It Works

The bottom line is E2B gives your agent a secure, disposable workspace to execute any code it generates.

1. Connect your E2B API key to the Connector.
2. Tell your agent to create a sandbox with a specific template like python3.
3. Your agent runs the code and returns the output to you.

## Frequently Asked Questions

**What does the E2B MCP actually do?**
E2B provides a secure way for your AI agent to execute code in the cloud. It creates isolated Linux environments so your agent can run scripts without touching your personal computer.

**Can I use the E2B MCP to run Python scripts?**
Yes, you can use pre-configured templates to spin up environments that already have Python installed. This makes it easy for your agent to run data analysis or scripts immediately.

**Is the E2B MCP safe for running untrusted code?**
It is designed specifically for security. Each sandbox is an isolated microVM with its own kernel and filesystem, meaning the code can't escape to your main system.

**How fast does E2B MCP spin up a sandbox?**
The sandboxes are built for speed and typically start in about 150ms. This allows your AI agent to jump into a new task almost instantly.

**Can I use the E2B MCP for Node.js projects?**
Yes, there is a dedicated Node.js template. Your agent can spin up a workspace with Node pre-installed to run JavaScript applications or test your code.

**How do I manage my costs with the E2B MCP?**
You can manage costs by using the kill tool to delete sandboxes as soon as your agent finishes its task. This ensures you only pay for the time your code is actually running.

**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.