Vagaro MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Vagaro through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Vagaro Assistant",
instructions=(
"You help users interact with Vagaro. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Vagaro"
)
print(result.final_output)
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 Vagaro MCP Server
Connect your Vagaro business to any AI agent and manage your salon, spa, or fitness studio through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Vagaro through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Vagaro, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Appointments — View booked appointments, check availability, and manage daily schedule
- Clients — Search customers, view profiles, visit history, and preferences
- Staff — List providers, check individual schedules, and manage availability
- Services — Browse all services offered with pricing and duration
- Classes — View group fitness classes, capacity, and enrollment
- Products — Manage retail inventory: hair care, skincare, supplements
- Business — Access business profile, hours, and online booking settings
The Vagaro MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Vagaro to OpenAI Agents SDK via MCP
Follow these steps to integrate the Vagaro MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Vagaro
Why Use OpenAI Agents SDK with the Vagaro MCP Server
OpenAI Agents SDK provides unique advantages when paired with Vagaro through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Vagaro + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Vagaro MCP Server delivers measurable value.
Automated workflows: build agents that query Vagaro, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Vagaro, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Vagaro tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Vagaro to resolve tickets, look up records, and update statuses without human intervention
Vagaro MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Vagaro to OpenAI Agents SDK via MCP:
get_appointment
Get appointment details
get_business_info
Get business profile
get_client
Get client profile
get_staff_schedule
Shows booked and available time slots. Get staff member schedule
list_appointments
Filter by date to see a specific day. List salon/spa/fitness appointments
list_classes
Includes schedule, instructor, capacity, and enrolled count. List fitness/wellness classes
list_products
Includes name, price, brand, and stock level. List retail products
list_services
Includes pricing, duration, and category. List all services offered
list_staff
Includes name, role, specialties, and availability. List all staff/providers
search_clients
Returns contact info, visit history, and preferences. Search clients/customers
Example Prompts for Vagaro in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Vagaro immediately.
"Show me today's appointments."
"Find Elena Gomez's profile and check her last booked service."
"Book a 60-minute deep tissue massage for Mark Smith with John next Friday at 2 PM."
Troubleshooting Vagaro MCP Server with OpenAI Agents SDK
Common issues when connecting Vagaro to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Vagaro + OpenAI Agents SDK FAQ
Common questions about integrating Vagaro MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Vagaro 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 Vagaro to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.