Valid Outfit Generator Connector for AI agents.
3 live capabilities
Create consistent clothing combinations for fashion styling and wardrobe management.
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Why people use Valid Outfit Generator
Valid Outfit Generator for Fashion Consistency
This Connector changes that by providing a dedicated rules engine. Instead of the AI guessing, it checks your items against a formality consistency standard. You get reliable, rule-abiding outfits every time.
What Vinkius changes
Your AI client gets a built-in logic engine to ensure every clothing suggestion follows your specific style rules.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Styling a wedding guest
A user asks for a formal look for a summer wedding; the agent uses `get_outfit_samples` to find items tagged as formal.
- Real-world use case 02
Auditing a personal closet
A user wants to know how many ways they can dress for work; the agent uses `count_valid_outfits` to see the total possibilities.
- Real-world use case 03
Checking a manual selection
A user picks three items and asks if they work together; the agent uses `verify_outfit_consistency` to check the tags.
Complete set · 3capabilities
The complete Valid Outfit Generator capability set.
These are the exact actions your AI can choose when you ask it to work with Valid Outfit Generator.
01—03
3 capabilities in this set.
Part of 3 available through Valid Outfit Generator.
- 01 Capability
Count valid outfits
Get the total number of clothing combinations that follow your formality rules. This helps you see the scale of your wardrobe options quickly.
- 02 Capability
Get outfit samples
Retrieve a limited list of valid clothing combinations for previewing. It provides immediate, usable styling ideas for your users.
- 03 Capability
Verify outfit consistency
Validate whether a specific group of items adheres to your formality rules. It prevents the AI from suggesting clashing styles in a single outfit.
Set up in minutes
One URL. Then ask Valid Outfit Generator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Valid Outfit Generator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_eouMbClSUl73xaEhrx5s89I0OfV78IZI1mtiFhu8/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Valid Outfit Generator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Valid Outfit Generator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_eouMbClSUl73xaEhrx5s89I0OfV78IZI1mtiFhu8/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Valid Outfit Generator URL.
- Step 03
Save and start
Save the connection and enable Valid Outfit Generator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"valid-outfit-generator": {
"url": "https://edge.vinkius.com/vk_preview_eouMbClSUl73xaEhrx5s89I0OfV78IZI1mtiFhu8/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Valid Outfit Generator
Open Agent mode in chat and ask: "Using Valid Outfit Generator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"valid-outfit-generator": {
"url": "https://edge.vinkius.com/vk_preview_eouMbClSUl73xaEhrx5s89I0OfV78IZI1mtiFhu8/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Valid Outfit Generator
Ask Copilot: "Using Valid Outfit Generator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"valid-outfit-generator": {
"url": "https://edge.vinkius.com/vk_preview_eouMbClSUl73xaEhrx5s89I0OfV78IZI1mtiFhu8/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Valid Outfit Generator
Open Cascade and ask: "Using Valid Outfit Generator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"valid-outfit-generator": {
"url": "https://edge.vinkius.com/vk_preview_eouMbClSUl73xaEhrx5s89I0OfV78IZI1mtiFhu8/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Valid Outfit Generator
Ask Cline: "Using Valid Outfit Generator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add valid-outfit-generator --transport http "https://edge.vinkius.com/vk_preview_eouMbClSUl73xaEhrx5s89I0OfV78IZI1mtiFhu8/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Valid Outfit Generator
Ask Claude: "Using Valid Outfit Generator, show me...". 3 tools are ready
Where the request belongs
Work Valid Outfit Generator can move forward.
This is for fashion tech developers and stylists who need to automate wardrobe logic without the AI making embarrassing style mistakes.
Fashion Stylist
Building an automated styling capability for clients that needs to ensure every suggestion follows a specific dress code.
Wardrobe App Developer
Creating a smart closet organizer that suggests wearable outfits based on the items a user actually owns.
E-commerce Merchandiser
Ensuring 'shop the look' sections only show accessories and clothes that match the main garment's formality.
Personal Assistant
Helping a busy user plan outfits for different events by filtering out clashing styles automatically.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Style3D
Manage 3D fashion assets via AI. browse projects, garments, fabrics, and trigger cloud renders for digital fashion workflows.
Bring your own AI
Change the model, client or framework. Keep Valid Outfit Generator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Valid Outfit Generator.
The practical details behind the request, access and result.
What does the Valid Outfit Generator do?
It ensures your AI agent doesn't mix formal and casual clothes. It provides a logic layer that checks your clothing tags to make sure every suggestion is appropriate for the occasion.
Can it help with event planning?
Yes, it helps find outfits that match the specific formality of an event. You can ask your agent to find formal or casual looks based on your specific wardrobe.
How does it handle my clothes?
It uses the tags you provide, like formal or casual, to calculate what works together. It looks for consistency across your tops, bottoms, and shoes.
Can it check an outfit I already picked?
Yes, it can verify if a specific group of items is consistent. This is great for double-checking your own choices before you head out.
Is this for a personal closet?
It works for personal wardrobes, fashion retail, and styling apps. It is designed to help any AI agent manage a collection of clothing items more intelligently.
Does it suggest colors?
No, it focuses on formality consistency rules. It ensures that the style of your clothes matches, but it doesn't analyze specific color palettes or patterns.
What is Formality Consistency?
It is a rule that prevents mixing items with 'formal' and 'casual' tags in the same outfit.
Which categories are required for an outfit?
Every valid outfit must include at least one top, one bottom, and one pair of shoes.
Can I include layers in my calculation?
Yes, you can optionally provide a 'layers' array. Any items added must also follow the formality consistency rule.
One connection away
Give your agent a direct line to Valid Outfit Generator.
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