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license-
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maintenanceRAG-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.
Last updated
MedGemma Vertex
by 199-mcp
Supports publishing the MCP server as an npm package for distribution and installation
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MedGemma Vertexinterpret this chest X-ray for signs of pneumonia"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Medical Imaging
MCP server that routes medical questions and images to MedGemma models hosted on Vertex AI.
answer_med_text → MedGemma-27B (text-only)
answer_med_image → MedGemma-4B-IT (multimodal)
Quick start
# 1. Install deps
npm install
# 2. Configure env vars (see .env.example)
export VERTEX_PROJECT=your-gcp-project-id
export ENDPOINT_27B=1234567890123456789
export ENDPOINT_4B=9876543210987654321
# 3. Run in dev mode (stdio+HTTP on :4000)
npm run devAdd this to Claude Desktop servers.json:
{
"id": "medgemma",
"name": "MedGemma Vertex",
"transport": "http",
"url": "http://localhost:4000/mcp"
}Related MCP server: Open Google Image Generator MCP
Publishing
The package is automatically compiled on npm publish (see prepublishOnly).
npm login # once, with your npm credentials
npm version patch # bump version
npm publish --access publicLicense
Code: Apache-2.0. MedGemma model usage subject to Health AI Developer Foundations license.
This server cannot be installed
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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