MedGemma Vertex
MCP server that routes medical questions and images to MedGemma models hosted on Vertex AI, enabling interaction with text-only and multimodal medical AI systems.
What is MedGemma Vertex?
MedGemma Vertex is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server that routes medical questions and images to medgemma models hosted on vertex ai, enabling interaction with text-only and multimodal medical ai systems.
MCP server that routes medical questions and images to MedGemma models hosted on Vertex AI, enabling interaction with text-only and multimodal medical AI systems.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server that routes medical questions and images to MedGe
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx medgemma-vertexConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about MedGemma Vertex
What is MedGemma Vertex?
MedGemma Vertex is a Model Context Protocol (MCP) server that mcp server that routes medical questions and images to medgemma models hosted on vertex ai, enabling interaction with text-only and multimodal medical ai systems. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MedGemma Vertex?
Follow the installation instructions on the MedGemma Vertex GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MedGemma Vertex?
MedGemma Vertex works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MedGemma Vertex free to use?
Yes, MedGemma Vertex is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up MedGemma Vertex in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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