Sage Veterinary Imaging

Serveur MCP public pour l'imagerie diagnostique vétérinaire — répertoire de plus de 800 prestataires, tarifs, emplacements, contenu éducatif et ressources cliniques pour chiens et chats

GitHub

Documentation

Sage MCP Public

Model Context Protocol server for Sage Veterinary Imaging's public data.

What It Serves

TableRecordsDescription
content536Website pages, blog posts, conditions, education articles
providers808Veterinary imaging provider directory (40 states)
pricing33SVI imaging service pricing
locations3SVI facility details (Round Rock TX, Spring TX, Sandy UT)

MCP Tools

  • search_content — Full-text search across all website content
  • get_page — Get a specific page by URL slug
  • search_providers — Search 800+ vet imaging facilities by location/modality
  • get_provider — Provider detail by slug
  • get_pricing — SVI service pricing, filterable by category
  • get_location_info — SVI location details (address, phone, modalities)
  • get_company_info — Company info, FAQs, policies
  • get_service_info — Imaging service descriptions

Architecture

GitHub → Railway (FastAPI + MCP) → Supabase (PostgreSQL + PostgREST)
  • No PHI. Completely separate from the clinical MCP server.
  • Supabase REST API for all queries (no direct DB connections needed).
  • Full-text search via PostgreSQL tsvector indexes.

Deployment

Railway

  1. Connect this repo to Railway
  2. Set environment variables:
    • SUPABASE_URL — Supabase project URL
    • SUPABASE_SERVICE_KEY — Service role JWT
    • PORT — Railway sets this automatically

Content Refresh

Run the sync worker to re-scrape website content:

python -m sync.refresh

Set up as a Railway cron service for weekly refresh.

Local Development

pip install -r requirements.txt
cp .env.example .env  # Add your Supabase credentials
python -m server.main

Server runs at http://localhost:8000

  • Health: GET /health
  • MCP: POST /mcp