Rebrickable LEGO MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Rebrickable LEGO, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Rebrickable LEGO, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Rebrickable LEGO tools and transform it with OpenAI models in a single async loop
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:
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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Rebrickable LEGO to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Rebrickable LEGO + OpenAI Agents SDK FAQ
Common questions about integrating Rebrickable LEGO MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
