RAG-enabled MCP server that uses Google Gemini for embeddings and Supabase for vector storage, enabling semantic search and document similarity matching through natural language queries.
A secure two-layer MCP integration system that connects local thin clients to a Google Cloud backend for authenticated access to internal corporate tools. It enables users to manage Odoo ERP records, Shopify products, and internal knowledge bases through natural language commands.
An MCP server that provides access to Google Gemini models via Vertex AI, enabling text generation, multi-turn chat, image/video generation, and frontend design through Claude Code.
An MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.