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Vinkius

Builder.io MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Builder.io through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Builder.io, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Builder.io MCP Server

Connect your Builder.io account to any AI agent and orchestrate your visual CMS, content management, and digital experience workflows through natural conversation.

The Vercel AI SDK gives every Builder.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Content Oversight — List and retrieve detailed metadata for all your content entries across different models (Pages, Blog Posts, etc.).
  • Model Management — List all content models in your space and retrieve detailed schema metadata.
  • Visual Automation — Create and update content entries programmatically using the Write API directly from your workspace.
  • Infrastructure Coordination — Access and monitor your spaces, organization settings, and reusable symbols.
  • Performance Tracking — Retrieve real-time API usage statistics to monitor your CMS performance.
  • Entry Deep Dives — Get detailed data for specific content or model IDs straight from your workspace.

The Builder.io 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 Builder.io to Vercel AI SDK via MCP

Follow these steps to integrate the Builder.io MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Builder.io and passes them to the LLM

Why Use Vercel AI SDK with the Builder.io MCP Server

Vercel AI SDK provides unique advantages when paired with Builder.io through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Builder.io integration everywhere

03

Built-in streaming UI primitives let you display Builder.io tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Builder.io + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Builder.io MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Builder.io in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Builder.io tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Builder.io capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Builder.io through natural language queries

Builder.io MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Builder.io to Vercel AI SDK via MCP:

01

create_content_entry

Create a new content entry

02

get_api_usage

Retrieve API usage statistics

03

get_content_entry

Get a specific content entry

04

get_model

Get details of a specific content model

05

get_space

Get details of a specific space

06

list_content

List content entries for a specific model

07

list_models

List all content models in the space

08

list_spaces

List all spaces in your organization

09

list_symbols

List all reusable symbols

10

update_content_entry

Update an existing content entry

Example Prompts for Builder.io in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Builder.io immediately.

01

"List all content entries for the 'page' model."

02

"Show the schema details for the 'blog-post' model."

03

"Create a new entry in 'announcement-bar' with name 'Promo Banner'."

Troubleshooting Builder.io MCP Server with Vercel AI SDK

Common issues when connecting Builder.io to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Builder.io + Vercel AI SDK FAQ

Common questions about integrating Builder.io MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Builder.io to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.