Shyna
Kovil AI Assistant
AI assistant. Verify important details with the Kovil AI team.
Integrate your storefront catalog semantically using the Model Context Protocol (MCP). Expose products, stock levels, and order histories directly to AI agents securely, with sub-50ms response times.
Core Pillars
We connect your store to large language models using secure standards and performant architectures.
Expose product catalogs, variant attributes, and customer order histories directly as structured 'tools' for large language models — the standard, portable way to give any model safe access to your store.
Perform high-speed semantic searches, fetch complex discount schemas, and manage checkout objects securely using official GraphQL endpoints, wrapped with schema validation.
Index product text descriptions and high-resolution item photos in vector databases (pgvector/Pinecone) to enable fast, accurate product recommendation matches.
Custom tool definitions that let agents build draft orders, apply discount codes, and reserve inventory — with strict validation before anything touches a real checkout.
Under the Hood
Every query passes through four deterministic steps — no hallucinated prices or stock counts.
We map your Shopify schema — products, variants, orders, customers — into structured MCP tool definitions with strict input/output types the model can call reliably.
The LLM receives the user's intent, selects the appropriate tool(s) from the exposed set, and issues a structured call rather than guessing at raw API syntax.
Our gateway validates the call against scoped permissions, executes it against Shopify's Admin/GraphQL API, and sanitizes the response before it returns to the model.
The model composes its final answer strictly from the tool's real data — eliminating hallucinated prices, stock counts, or order statuses.
Performance & Reliability
Secure RAG vector indexes and API wrappers that keep your database protected and responsive.
Our custom MCP gateways cache catalog schemas locally, serving structured queries to agent models in under 50ms.
Configure custom token scopes strictly within the Shopify Partner network to guarantee agents only execute approved commands.
Connect webhooks to automatically trigger agent re-indexing operations when products are added, modified, or run out of stock.
Sync inventory changes between Shopify, custom ERP systems, and external warehouse channels (NetSuite/SAP) seamlessly.
Model-Agnostic
We don't lock you into a single provider. Every MCP server we build is portable across the major model APIs.
Anthropic Claude
Native MCP support — the protocol Anthropic originated
OpenAI GPT-4o / o-series
Function-calling compatible via our MCP-to-tool adapter
DeepSeek & open-source
Self-hosted models supported via OpenAI-compatible endpoints
Native vs. Custom
| Capability | Native Shopify AI Toolkit | Kovil AI Custom MCP |
|---|---|---|
| Setup complexity | Configuration-only, limited customization | Fully custom tool schema for your exact catalog |
| Multi-model support | Tied to Shopify's chosen provider | Model-agnostic — swap providers freely |
| Legacy system sync | Not supported out of the box | Custom connectors to ERP, WMS, and CRM |
| Response latency | Depends on Shopify's infrastructure | Sub-50ms via our cached gateway layer |
| Checkout & draft order actions | Limited to supported flows | Fully custom validation and business rules |
FAQ
Answers to common technical queries about MCP and vector schemas.
Consult with our AI Solutions Leads to design custom MCP servers and catalog vector databases. Deployment includes a 2-week risk-free trial.
Compatible with OpenAI, Anthropic, and open-source models.