How do I get a Rebrickable API key?

Visit [**rebrickable.com/api**](https://rebrickable.com/api/), sign in with your Rebrickable account, and your API key will be displayed on the page. Copy it — it's a long alphanumeric string.

Can I search for sets by theme?

Yes! Use `list_sets` with `theme_id` to filter by theme. First use `list_themes` to find the theme ID (e.g. Star Wars = 170), then pass it to list_sets. You can also filter by year or part number.

Can I see the parts inventory for a set?

Yes! Use `get_set_parts` with the set number (e.g. "75192-1" for the Millennium Falcon). Returns every part with its part number, color ID, quantity and whether it's a spare. Set inc_minifig_parts to true to include minifig parts.

How many results can I get at once?

The API supports up to 1000 results per request. Use the `page_size` parameter (max 1000, default 100) and `page` for pagination. The total count and next/previous URLs are returned in each response.

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

Name: Rebrickable LEGO
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Rebrickable LEGO through Vinkius, pass the Edge URL in the `mcps` parameter and every Rebrickable LEGO tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Rebrickable LEGO Specialist",
    goal="Help users interact with Rebrickable LEGO effectively",
    backstory=(
        "You are an expert at leveraging Rebrickable LEGO tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Rebrickable LEGO "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Rebrickable LEGO becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Rebrickable LEGO tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Rebrickable LEGO

Why Use CrewAI with the Rebrickable LEGO MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Rebrickable LEGO through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Rebrickable LEGO + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Rebrickable LEGO for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Rebrickable LEGO, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Rebrickable LEGO tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Rebrickable LEGO against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Rebrickable LEGO MCP Tools for CrewAI (11)

These 11 tools become available when you connect Rebrickable LEGO to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Rebrickable LEGO + CrewAI FAQ

Common questions about integrating Rebrickable LEGO MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.