This repository contains sample client implementations for connecting to Bloomreach's Loomi Connect MCP server. These examples demonstrate how to integrate the MCP server into your LLM applications using different programming languages and frameworks.
A JavaScript implementation for Node.js applications, ideal for server-side applications and backend services that need to connect LLMs with Bloomreach Discovery data.
A Python implementation designed for data-heavy AI/ML pipelines and applications built with popular Python frameworks like FastAPI or Django.
A type-safe implementation that provides full TypeScript support, offering enhanced development experience.
- Authentication credentials
Node.js 18+for the Node.js clientPython 3.8+for the Python clientNode.js 18+withTypeScript 5.0+for the TypeScript client
- Clone this repository:
git clone https://github.com/bloomreach/loomi-connect-mcp-client-examples.git
cd loomi-connect-mcp-client-examples- Navigate to your preferred client directory:
cd nodejs # or python, typescript- Install dependencies and follow the setup instructions in each client's README file.
- Run the example code to verify your connection.
For comprehensive documentation and technical specifications of Loomi Connect MCP, visit the Bloomreach Documentation Portal.
For questions about these client examples or Loomi Connect MCP:
- Review the Loomi Connect MCP Documentation
- Contact your Bloomreach account representative