Loomi Connect MCP

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Note

Loomi Connect MCP is currently in Beta. Contact your Bloomreach representative to access or set up the MCP service.

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI applications (like Claude, ChatGPT, Cursor, or custom AI agents) to securely connect to external data sources and tools. Think of it as a universal adapter that lets AI assistants access your business systems.

What is Loomi Connect MCP?

Loomi Connect MCP is Bloomreach's MCP service that enables various large language models (LLMs) to directly access and interact with the Bloomreach Discovery engine. AI assistants get direct access to your Discovery catalog through Loomi Connect MCP. They can search products, check inventory, and retrieve details in real-time. This powers AI agents that answer customer questions, generate product content, or suggest products using live data.

Whether you're building custom AI shopping assistants, automated merchandising tools, or intelligent customer service bots, Loomi Connect MCP provides the foundational connectivity layer.

Loomi Connect MCP benefits

Real-time data access: Connect AI models directly to your live product catalog and search infrastructure, ensuring responses always reflect the latest inventory, pricing, and availability.

Simplified integration: Eliminate the need for custom API wrappers or complex middleware. The MCP server handles authentication, data formatting, and response optimization automatically.

Scoped functionality: The MCP server provides LLMs with access to only the essential APIs and parameters needed for specific tasks, which minimizes context window consumption and improves response efficiency.

Use cases

AI-powered shopping assistants

Create conversational commerce experiences that allow users to ask natural language questions about products, availability, and recommendations. For example, a furniture retailer could deploy an AI assistant that helps customers find "a modern sofa under $2,000 that fits in a small apartment" by directly querying their Discovery catalog.

Intelligent customer service automation

Enable support chatbots to access real-time product information, check inventory levels, and provide accurate answers about product specifications. When a customer asks about warranty details or product compatibility, the AI can retrieve accurate, up-to-date information directly from Discovery.

Dynamic content generation

Use LLMs to automatically create product descriptions, category narratives, or marketing copy based on actual product attributes and performance data from Discovery. An electronics retailer could generate SEO-optimized category descriptions that automatically update based on trending products and search terms.

Next steps

• Get started with the MCP server (integration and configuration).

• Review the technical specifications for details on authentication, supported request parameters, and functionalities.