ezyVet MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"mcpServers": {
"ezyvet": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ezyVet MCP Server
Connect your ezyVet Practice Management account to any AI agent and take full control of your clinical workflows through natural conversation.
GitHub Copilot Agent mode brings ezyVet data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Animal & Patient Records — List and fetch detailed records for animals (patients) including breed and status
- Appointment Scheduling — Query upcoming appointments and check schedule availability directly from the cloud
- Clinical Consults — Access and inspect clinical data and consult history for any patient
- Financial Billing — List and inspect invoices to track payments and practice revenue
- Contact Management — Manage details for clients (owners), suppliers, and staff contacts
- Inventory & Products — List products available in your practice's inventory catalog
The ezyVet MCP Server exposes 12 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ezyVet to VS Code Copilot via MCP
Follow these steps to integrate the ezyVet MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using ezyVet
Ask Copilot: "Using ezyVet, help me...". 12 tools available
Why Use VS Code Copilot with the ezyVet MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with ezyVet through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
ezyVet + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the ezyVet MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
ezyVet MCP Tools for VS Code Copilot (12)
These 12 tools become available when you connect ezyVet to VS Code Copilot via MCP:
get_animal
Get a specific ezyVet animal by ID
get_appointment
Get a specific ezyVet appointment by ID
get_consult
Get a specific ezyVet consult by ID
get_contact
Get a specific ezyVet contact by ID
get_invoice
Get a specific ezyVet invoice by ID
get_me
Get current ezyVet user profile
list_animals
List all ezyVet animals (patients)
list_appointments
List all ezyVet appointments
list_consults
List all ezyVet consults
list_contacts
List all ezyVet contacts (clients/suppliers)
list_invoices
List all ezyVet invoices
list_products
List all ezyVet products
Example Prompts for ezyVet in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with ezyVet immediately.
"List all patients (animals) registered in the system."
"Check today's appointments."
"List the most recent invoices."
Troubleshooting ezyVet MCP Server with VS Code Copilot
Common issues when connecting ezyVet to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
ezyVet + VS Code Copilot FAQ
Common questions about integrating ezyVet MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect ezyVet with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ezyVet to VS Code Copilot
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
