E2B MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect E2B through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using E2B, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every E2B tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the E2B MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 3 tools from E2B and passes them to the LLM
Why Use Vercel AI SDK with the E2B MCP Server
Vercel AI SDK provides unique advantages when paired with E2B through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same E2B integration everywhere
Built-in streaming UI primitives let you display E2B tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
E2B + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the E2B MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query E2B in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate E2B tools and return structured JSON responses to any frontend
Chatbots with tool use: embed E2B capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with E2B through natural language queries
E2B MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect E2B to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting E2B to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpE2B + Vercel AI SDK FAQ
Common questions about integrating E2B MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.