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Rebrickable LEGO MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Rebrickable LEGO through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "rebrickable-lego": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Rebrickable LEGO Agent",
    instructions:
      "You help users interact with Rebrickable LEGO " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Rebrickable LEGO?"
  );
  console.log(result.text);
}

main();
Rebrickable LEGO
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Rebrickable LEGO tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Rebrickable LEGO MCP Server with Mastra AI.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 11 tools from Rebrickable LEGO via MCP

Why Use Mastra AI with the Rebrickable LEGO MCP Server

Mastra AI provides unique advantages when paired with Rebrickable LEGO through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Rebrickable LEGO without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Rebrickable LEGO tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Rebrickable LEGO + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Rebrickable LEGO MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Rebrickable LEGO, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Rebrickable LEGO as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Rebrickable LEGO on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Rebrickable LEGO tools alongside other MCP servers

Rebrickable LEGO MCP Tools for Mastra AI (11)

These 11 tools become available when you connect Rebrickable LEGO to Mastra AI via MCP:

01

get_minifig

g. "sw0001-1"). Returns the minifig name, theme, year, piece count and image URLs. Get details for a specific LEGO minifigure

02

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

03

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

04

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

05

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

06

get_theme

Returns the theme name, parent theme (if sub-theme) and set count. Get details for a specific LEGO theme

07

list_colors

Useful for understanding color availability in sets and MOC building. List all LEGO colors in the catalog

08

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

09

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

10

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

11

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 Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Rebrickable LEGO immediately.

01

"Find all LEGO Star Wars sets from 2024."

02

"Show me the parts inventory for set 10497 (Galaxy Explorer)."

03

"What colors is LEGO part 3001 (2x4 brick) available in?"

Troubleshooting Rebrickable LEGO MCP Server with Mastra AI

Common issues when connecting Rebrickable LEGO to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Rebrickable LEGO + Mastra AI FAQ

Common questions about integrating Rebrickable LEGO MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Rebrickable LEGO to Mastra AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.