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Vinkius

Constructor Connector for AI agents.

10 live capabilities

Manage e-commerce search and product discovery with natural language.

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AI Agent

Why people use Constructor

Constructor for E-commerce Search Audits

With this Connector, you just tell your agent what you're looking for. It queries the backend directly and gives you a summary of the rankings, categories, and filters in seconds. You get a clear picture of your store's performance without ever opening a dashboard.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct text interface for your entire Constructor.io discovery engine.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Checking search rankings for new products

    A manager wants to see if 'hiking boots' shows the correct items.

  2. Real-world use case 02

    Verifying marketing collection content

    A marketing coordinator needs to check if the 'Summer Sale' items are live.

  3. Real-world use case 03

    Debugging attribute filters

    A developer needs to know why 'Blue' isn't showing up in shoes.

Complete set · 10capabilities

The complete Constructor capability set.

These are the exact actions your AI can choose when you ask it to work with Constructor.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Constructor.

  1. 01 Capability

    Autocomplete

    Get the logic behind your active autocomplete properties. This helps you see how your search bar suggests items to users in real time.

  2. 02 Capability

    Browse collection

    Identify active arrays for native gateway auth. Use this to find specific marketing clusters or curated groups.

  3. 03 Capability

    Custom search

    Find active arrays spanning specific hold parsing. This helps you identify precise search results for complex or custom queries.

  4. 04 Capability

    Search filtered

    Apply JSON structures to restrict results by color, size, or features. Use this to verify that your attribute filters are working correctly for shoppers.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Constructor.

  1. 05 Capability

    Search pagination

    Run automated validation checks on gateway history. This lets you check how your search results are paginated across different pages.

  2. 06 Capability

    Get recommendations

    Retrieve cloud logging for vault limits. Use this to see what items are appearing in your recommendation pods and personalized feeds.

  3. 07 Capability

    Search products

    Find CRM records inside the headless platform. This lets you see the actual product results and rankings for any given search term.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Constructor.

  1. 08 Capability

    Search sorted

    List attached rules for exporting active billing. Use this to check the sorting rules applied to your product lists and search results.

  2. 09 Capability

    Browse brand

    Inspect internal arrays for specific brand data. Use this to check how your brand taxonomies are structured for your customers.

  3. 10 Capability

    Browse category

    Fetch a JSON payload for specific category bindings. This is useful for auditing your product directory trees and navigation.

Set up in minutes

One URL. Then ask Constructor to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Constructor from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_7QdndEEXMElkrXV72k1k9X9VY0HS8rfUr6VIhrH5/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Constructor, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Constructor for the conversation.

Where the request belongs

Work Constructor can move forward.

Built around the request

E-commerce leads and developers who are tired of manual dashboard testing. It's for the person who needs to know if a specific search query actually shows the right results without having to clear their cookies and search manually every single time.

01

E-commerce Manager

Audits search rankings and recommendation pods to ensure the right products hit the top spots for customers.

02

Product Owner

Verifies that attribute filters like size and color are mapping correctly to the product catalog in real-time.

03

Marketing Coordinator

Checks that curated collections and brand taxonomies are ready for a new launch and correctly mapped.

04

Developer

Debugs search API parameters and tests personalized recommendation outputs through natural language queries.

Bring your own AI

Change the model, client or framework. Keep Constructor connected.

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Before you connect

Questions about Constructor.

The practical details behind the request, access and result.

Can I use the Constructor MCP to check my search rankings?

Yes, you can ask your agent to pull the top results for any query to see how your ML ranking is performing in real-time.

Does the Constructor MCP help with personalized recommendations?

It lets you see what products are being served in specific recommendation pods and personalized feeds without leaving your chat.

How do I check my brand taxonomies?

You can ask the agent to browse your brands to see how they are structured in the backend, ensuring your navigation is correct.

Can I use this to test my site filters?

Yes, you can use it to verify that specific attributes like size or color are returning the correct products for your shoppers.

Is the Constructor MCP good for marketing audits?

It's great for checking that your curated collections and marketing clusters are correctly mapped and visible to customers.

Can my agent check the ML ranking for a specific product search?

Yes. Use the 'search_products' capability. The agent will retrieve results ranked by Constructor's ML engine, allowing you to audit how products are surfaced based on specific keywords and intent signals.

How do I retrieve personalized recommendations via the agent?

Provide the 'pod_id' to your agent and use the 'get_recommendations' capability. The agent will query the collaborative filtering models to return a list of products tailored to your specified recommendation logic.

Can I test attribute filtering like color or size through chat?

Absolutely. The 'search_filtered' capability allows you to pass exact attribute mappings (e.g., 'color:blue,size:L'). Your agent will verify how the API restricts results to those specific structural bounds.

One connection away

Give your agent a direct line to Constructor.

Connect Constructor once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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