How to Use the vCita MCP in OpenAI Agents SDK
Manage clients and bookings with your AI client running on OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect vCita MCP to OpenAI Agents SDK
Create your Vinkius account to connect vCita to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Bookings and Appointments
Schedule services or cancel existing ones instantly. You can set up new appointments using `create_new_booking`, and if plans change, you'll handle it with `cancel_appointment`. This keeps your calendar updated without manual entry. You also get a clear view of all scheduled time slots by calling `list_scheduled_appointments`. It’s how you keep track of who needs to show up.
Client and Contact Info
Need details on a customer? Get their profile right away with `get_client_details`. You can also pull the full list of existing contacts using `list_crm_clients`, or even add new people into your system via `create_crm_client`. This means your AI client keeps all your contact data current, whether you're updating a profile or adding someone entirely new.
Financial Tracking
Handle payments and invoices directly. Your agent can list all past bills using `list_client_invoices`, giving you a quick financial snapshot. Furthermore, it tracks every transaction with `list_recorded_payments`. Want to see what services are available or what prices were estimated? Use `list_offered_services` and `list_price_estimates` together.
Set up vCita MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all vCita tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives vCita tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate vCita tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="vCita Agent",
instructions="You have access to vCita tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by vCita. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Real-time monitoring
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Built-in savings
60%
lower AI costs
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Single dashboard
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place for every integration
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Common questions about vCita MCP in OpenAI Agents SDK
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