2,500+ MCP servers ready to use
Vinkius

Rebrickable LEGO MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Rebrickable LEGO through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Rebrickable LEGO Assistant",
            instructions=(
                "You help users interact with Rebrickable LEGO. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Rebrickable LEGO"
        )
        print(result.final_output)

asyncio.run(main())
Rebrickable LEGO
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

The OpenAI Agents SDK auto-discovers all 11 tools from Rebrickable LEGO through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Rebrickable LEGO, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Rebrickable LEGO MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 11 tools from Rebrickable LEGO

Why Use OpenAI Agents SDK with the Rebrickable LEGO MCP Server

OpenAI Agents SDK provides unique advantages when paired with Rebrickable LEGO through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Rebrickable LEGO + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Rebrickable LEGO MCP Server delivers measurable value.

01

Automated workflows: build agents that query Rebrickable LEGO, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Rebrickable LEGO, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Rebrickable LEGO tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Rebrickable LEGO to resolve tickets, look up records, and update statuses without human intervention

Rebrickable LEGO MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect Rebrickable LEGO to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Rebrickable LEGO to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Rebrickable LEGO + OpenAI Agents SDK FAQ

Common questions about integrating Rebrickable LEGO MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Rebrickable LEGO to OpenAI Agents SDK

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