Enables document search using Vertex AI and Gemini with grounding to improve result quality using private data.
Sponsored
This MCP server facilitates searching documents using Vertex AI, leveraging Gemini with Vertex AI grounding for enhanced result quality. By grounding Gemini's responses in your private data stored within Vertex AI Datastore, the solution ensures more accurate and relevant search results. It supports the integration of multiple Vertex AI data stores, allowing you to consolidate your information sources for comprehensive search capabilities.
Características Principales
01Uses Gemini with Vertex AI grounding
02Supports Server-Sent Events (SSE) and standard input/output (stdio) transports
03Includes a command-line interface for testing Vertex AI search
04Integrates with one or more Vertex AI data stores
05Configurable via YAML file
Casos de Uso
01Building a knowledge base search application using Vertex AI's capabilities
02Searching internal company documents stored in Vertex AI
03Integrating Vertex AI search into existing MCP workflows
