Rebrickable LEGO MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Rebrickable LEGO as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Rebrickable LEGO. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Rebrickable LEGO?"
)
print(response)
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.
LlamaIndex agents combine Rebrickable LEGO tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Rebrickable LEGO MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Rebrickable LEGO
Why Use LlamaIndex with the Rebrickable LEGO MCP Server
LlamaIndex provides unique advantages when paired with Rebrickable LEGO through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Rebrickable LEGO tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Rebrickable LEGO tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Rebrickable LEGO, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Rebrickable LEGO tools were called, what data was returned, and how it influenced the final answer
Rebrickable LEGO + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Rebrickable LEGO MCP Server delivers measurable value.
Hybrid search: combine Rebrickable LEGO real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Rebrickable LEGO to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Rebrickable LEGO for fresh data
Analytical workflows: chain Rebrickable LEGO queries with LlamaIndex's data connectors to build multi-source analytical reports
Rebrickable LEGO MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Rebrickable LEGO to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Rebrickable LEGO to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRebrickable LEGO + LlamaIndex FAQ
Common questions about integrating Rebrickable LEGO MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.