An MCP-centered operations layer for e-commerce and multi-marketplace synchronization
Vendilus is a product showcase that unifies fragmented commerce channels such as Trendyol, Amazon, Etsy, and Shopify into one decision surface.
Its goal is to read stock, order, and pricing data concurrently from different API protocols and normalize that information into a shared ProductState schema that AI agents can reason over.
- Combines REST, GraphQL, XML, and JSON sources in one command surface.
- Normalizes real-time stock, price, and order state across channels.
- Moves reliable commerce data into LLM context through an MCP server.
- Orchestrates seller actions with low latency and strong traceability.
The AI assistant that manages all your stores
Reference algorithm
The system accepts prompts such as 'What is the current cross-platform state of product X?' and converts them into a channel-agnostic query plan.
The MCP task layer then issues parallel async requests to the relevant marketplace APIs while tracking latency, errors, and data gaps per source.
Incoming XML and JSON payloads are normalized into a shared ProductState schema so the agent can respond with one consolidated operational answer.
Observe, Plan, Decide, and Act turns fragmented commerce data into an actionable decision system.
Vendilus MCP Pipeline
Vendilus workflow gallery
Observe
Zoom In
Plan
Zoom In
Decide
Zoom In
Act
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Expected operational outcomes
Vendilus reduces visibility loss across channels and supplies AI decision layers with reliable retail context.
- Creates a unified inventory view across stores.
- Scores pricing and stock divergence before it becomes costly.
- Provides a standardized data model for agent commands.
- Speeds up seller operations with fewer panel switches.
4+
Connected marketplace profiles96%
Target stock alignment visibility
