Bring Lego
to Vercel AI SDK
Create your Vinkius account to connect Rebrickable LEGO to Vercel AI SDK and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Rebrickable LEGO MCP Server?
Connect to the Rebrickable LEGO API and explore the entire LEGO catalog through natural conversation.
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
How it works
- Subscribe to this server
- Enter your Rebrickable API Key
- Start exploring LEGO data from Claude, Cursor, or any MCP-compatible client
No more navigating the Rebrickable website to find set details or parts inventories. Your AI acts as a dedicated LEGO archivist.
Who is this for?
- LEGO Fans — discover sets by theme, find specific minifigures and explore the parts inventory
- MOC Builders — search for parts by number, check available colors and browse themes for inspiration
- Collectors — track sets by year, find specific editions and discover theme collections
Built-in capabilities (11)
g. "sw0001-1"). Returns the minifig name, theme, year, piece count and image URLs. Get details for a specific LEGO minifigure
g. "3001" for a 2x4 brick). Returns the part name, category, image URLs and available colors. Get details for a specific LEGO part
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
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
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
Returns the theme name, parent theme (if sub-theme) and set count. Get details for a specific LEGO theme
Useful for understanding color availability in sets and MOC building. List all LEGO colors in the catalog
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
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
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
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
Why Vercel AI SDK?
The Vercel AI SDK gives every Rebrickable LEGO tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Rebrickable LEGO integration everywhere
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Built-in streaming UI primitives let you display Rebrickable LEGO tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Rebrickable LEGO in Vercel AI SDK
Why run Rebrickable LEGO with Vinkius?
The Rebrickable LEGO connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Rebrickable LEGO using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Rebrickable LEGO and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Rebrickable LEGO to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Rebrickable LEGO for Vercel AI SDK
Every request between Vercel AI SDK and Rebrickable LEGO is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I get a Rebrickable API key?
Visit 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.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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