E2B MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect E2B through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"e2b": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "E2B Agent",
instructions:
"You help users interact with E2B " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with E2B?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and E2B tool infrastructure. Connect 3 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the E2B MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from E2B via MCP
Why Use Mastra AI with the E2B MCP Server
Mastra AI provides unique advantages when paired with E2B through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add E2B without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every E2B tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
E2B + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the E2B MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query E2B, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed E2B as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query E2B on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using E2B tools alongside other MCP servers
E2B MCP Tools for Mastra AI (3)
These 3 tools become available when you connect E2B to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting E2B to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpE2B + Mastra AI FAQ
Common questions about integrating E2B MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect E2B with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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.
Connect E2B to Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.