Netlify MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Netlify through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Netlify, 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 Netlify MCP Server
Connect your Netlify account to any AI agent and orchestrate your web hosting and deployment workflows through natural conversation.
The Vercel AI SDK gives every Netlify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Site Oversight — List and retrieve detailed information for all your web projects hosted on Netlify.
- Deployment Management — Monitor deploy statuses and retrieve specifics for any historical deployment.
- Build Automation — Trigger new builds for your sites directly from your workspace.
- Form Processing — Access form submissions and list available forms to monitor user engagement.
- DNS & Domains — List managed DNS zones and domains associated with your account.
- User Insights — Retrieve authenticated user profile information for account verification.
The Netlify MCP Server exposes 10 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 Netlify to Vercel AI SDK via MCP
Follow these steps to integrate the Netlify 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 10 tools from Netlify and passes them to the LLM
Why Use Vercel AI SDK with the Netlify MCP Server
Vercel AI SDK provides unique advantages when paired with Netlify 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 Netlify integration everywhere
Built-in streaming UI primitives let you display Netlify 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
Netlify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Netlify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Netlify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Netlify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Netlify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Netlify through natural language queries
Netlify MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Netlify to Vercel AI SDK via MCP:
get_deploy
Get specific deploy details
get_site
Get details of a specific site
get_user
Get authenticated user profile
list_builds
List builds for a site
list_deploys
List all deploys for a site
list_domains
List all DNS zones/domains
list_form_submissions
List submissions for a specific form
list_forms
List all forms for a site
list_sites
List all Netlify sites
trigger_build
Trigger a new build for a site
Example Prompts for Netlify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Netlify immediately.
"List all my Netlify sites."
"Trigger a new build for site site_1."
"Show the latest contact form submissions for site_2."
Troubleshooting Netlify MCP Server with Vercel AI SDK
Common issues when connecting Netlify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNetlify + Vercel AI SDK FAQ
Common questions about integrating Netlify 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 Netlify 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 Netlify to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.