Developer Documentation

Model Context Protocol
(MCP) Implementation

Integrate AIVET's veterinary clinical intelligence directly into AI agents, IDEs, and pet-tech platforms.

01Quick Start

Install the AIVET MCP server to give your AI agent access to professional imaging and lab interpretation tools.

# Install the official MCP server
npx @vetsorcery/aivet-mcp

Smithery

One-click install for Claude Desktop.

npx -y @smithery/cli install @vetsorcery/aivet-mcp --client claude

MCP.so

Web-based registry for agent tools.

https://mcp.so/server/vetsorcery

Available Tools

  • analyze_pet_image

    Vision-based clinical triage.

  • interpret_lab_result

    Bloodwork and urinalysis parsing.

  • check_poison_toxicity

    Instant toxicity risk assessment.

Official SDKs

Build natively with AIVET intelligence.

NPM (JS/TS)v0.1.0Pip (Python)v0.1.0