ezyVet MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ezyVet as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ezyVet. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in ezyVet?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine ezyVet tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the ezyVet MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from ezyVet
Why Use LlamaIndex with the ezyVet MCP Server
LlamaIndex provides unique advantages when paired with ezyVet through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ezyVet tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ezyVet tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ezyVet, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ezyVet tools were called, what data was returned, and how it influenced the final answer
ezyVet + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ezyVet MCP Server delivers measurable value.
Hybrid search: combine ezyVet real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ezyVet to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ezyVet for fresh data
Analytical workflows: chain ezyVet queries with LlamaIndex's data connectors to build multi-source analytical reports
ezyVet MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect ezyVet to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting ezyVet to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpezyVet + LlamaIndex FAQ
Common questions about integrating ezyVet MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.