mcp-vertexai-search
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This is a MCP server to search documents using Vertex AI.
The MCP Server for Vertex AI Search is designed to facilitate document searches using Vertex AI, leveraging Gemini with Vertex AI grounding to enhance search results by anchoring responses in private data stored in Vertex AI Datastore. This server can integrate with one or multiple Vertex AI data stores, providing a robust solution for document retrieval. The architecture supports both Docker and Python package installations, allowing flexibility in deployment. The server supports two transport methods: Server-Sent Events (SSE) and Standard Input Output (stdio), which can be configured via a YAML file. The server is not yet available on PyPI, but can be installed directly from the repository.
Features
- Integration with Vertex AI Datastore for enhanced search results.
- Supports multiple transport methods: SSE and stdio.
- Configurable via YAML file for flexible setup.
- Docker and Python package installation options.
- Utilizes Gemini with Vertex AI grounding for improved search accuracy.
