Rebrickable LEGO MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Rebrickable LEGO 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 Rebrickable LEGO, 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 Rebrickable LEGO MCP Server
Connect to the Rebrickable LEGO API and explore the entire LEGO catalog through natural conversation.
The Vercel AI SDK gives every Rebrickable LEGO tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Sets — Search and browse LEGO sets by theme, year or part number with piece counts and images
- Parts — Explore the official LEGO parts catalog with part numbers, names and categories
- Minifigures — Discover minifigures with their set numbers, themes and images
- Themes — Browse all LEGO themes and sub-themes with set counts
- Colors — List all LEGO colors with their IDs, names and RGB values
- Set Parts — Get complete parts inventories for any LEGO set including spare parts
The Rebrickable LEGO MCP Server exposes 11 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 Rebrickable LEGO to Vercel AI SDK via MCP
Follow these steps to integrate the Rebrickable LEGO 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 11 tools from Rebrickable LEGO and passes them to the LLM
Why Use Vercel AI SDK with the Rebrickable LEGO MCP Server
Vercel AI SDK provides unique advantages when paired with Rebrickable LEGO 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 Rebrickable LEGO integration everywhere
Built-in streaming UI primitives let you display Rebrickable LEGO 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
Rebrickable LEGO + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Rebrickable LEGO MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Rebrickable LEGO in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Rebrickable LEGO tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Rebrickable LEGO capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Rebrickable LEGO through natural language queries
Rebrickable LEGO MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Rebrickable LEGO to Vercel AI SDK via MCP:
get_minifig
g. "sw0001-1"). Returns the minifig name, theme, year, piece count and image URLs. Get details for a specific LEGO minifigure
get_part
g. "3001" for a 2x4 brick). Returns the part name, category, image URLs and available colors. Get details for a specific LEGO part
get_part_colors
Returns color IDs, color names and availability info. Useful for finding which colors a part is available in for MOC building. Get available colors for a LEGO part
get_set
g. "75192-1"). Returns the set name, year, theme, piece count, minifig count, image URLs and related info. Set numbers follow the format "NNNN-N" where NNNN is the set number and N is the variant. Get details for a specific LEGO set
get_set_parts
Each entry includes the part number, color ID, quantity and whether it's a spare part. Optionally include minifig parts. Use list_colors and list_parts to resolve color and part details. Get the parts inventory for a LEGO set
get_theme
Returns the theme name, parent theme (if sub-theme) and set count. Get details for a specific LEGO theme
list_colors
Useful for understanding color availability in sets and MOC building. List all LEGO colors in the catalog
list_minifigs
Returns minifig numbers, names, themes, year and image URLs. Optionally filter by part number. Use pagination with page and page_size (max 1000). Search LEGO minifigures
list_parts
Returns part numbers, names, categories and image URLs. Optionally filter by part number pattern. Use pagination with page and page_size (max 1000). Search LEGO parts in the catalog
list_sets
Optionally filter by theme ID, year, or part number. Returns set numbers, names, year, theme, piece count and image URLs. Use pagination with page and page_size (max 1000 per request). Search LEGO sets in the Rebrickable catalog
list_themes
g. Star Wars, City, Technic) and their sub-themes. Each theme includes its ID, name, parent theme ID (for sub-themes) and set count. Optionally filter by parent theme ID to get sub-themes of a specific theme. List LEGO themes and sub-themes
Example Prompts for Rebrickable LEGO in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Rebrickable LEGO immediately.
"Find all LEGO Star Wars sets from 2024."
"Show me the parts inventory for set 10497 (Galaxy Explorer)."
"What colors is LEGO part 3001 (2x4 brick) available in?"
Troubleshooting Rebrickable LEGO MCP Server with Vercel AI SDK
Common issues when connecting Rebrickable LEGO to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRebrickable LEGO + Vercel AI SDK FAQ
Common questions about integrating Rebrickable LEGO 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 Rebrickable LEGO 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 Rebrickable LEGO to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.