Builder 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 Builder 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 Builder, 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 Builder MCP Server
Connect your Builder.io space to any AI agent and take full programmatic control over your headless CMS architecture and visual pages through natural conversation.
The Vercel AI SDK gives every Builder 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 Automation — Create, update, or wipe specific content entries across any data model dynamically
- Schema Navigation — List your active Builder models and analyze exact field definitions and strict JSON bounds
- Search & Retrieval — Use query strings to pull matched content documents or count entities effortlessly
- Media Fetching — Inspect metadata and URLs of uploaded assets living on the Builder platform
- Headless Maintenance — Delete deprecated components or page sections instantly using targeted endpoints
The Builder 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 to Vercel AI SDK via MCP
Follow these steps to integrate the Builder 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 Builder and passes them to the LLM
Why Use Vercel AI SDK with the Builder MCP Server
Vercel AI SDK provides unique advantages when paired with Builder 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 Builder integration everywhere
Built-in streaming UI primitives let you display Builder 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
Builder + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Builder MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Builder in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Builder tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Builder capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Builder through natural language queries
Builder MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Builder to Vercel AI SDK via MCP:
count_model_entities
Quickly count the number of live items stored within a specific model
create_visual_block
Create new content entries or visual blocks inside a Builder model
get_media_file
Retrieve details about an uploaded media asset within Builder.io
get_model_schema
Get the exact field structure and schema definitions for a single model
get_single_content
g. `query.data.title=Home`). Retrieve a specific content document by query matching from Builder.io
list_builder_models
List all defined data models and schemas in the Builder space
list_model_content
Useful for fetching dynamic content blocks or pages. Retrieve a list of content entries for a specific Builder.io model
search_active_models
Find Builder models matching a specific criteria or substring
update_visual_block
Update an existing Builder.io content block or document
wipe_visual_block
Permanently delete a specific content entry from Builder.io
Example Prompts for Builder in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Builder immediately.
"List all active Builder models in my workspace."
"Fetch the schema for the 'custom-hero' model."
"Find a page with the title "Home" on the 'page' model."
Troubleshooting Builder MCP Server with Vercel AI SDK
Common issues when connecting Builder to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBuilder + Vercel AI SDK FAQ
Common questions about integrating Builder 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 Builder 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 Builder to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.