How to Use the Appointlet MCP in OpenAI Agents SDK
Run Appointlet scheduling tools natively in your OpenAI Agents SDK pipelines with built-in execution guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Appointlet MCP to OpenAI Agents SDK
Create your Vinkius account to connect Appointlet 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.
Manage Bookings and Guardrails in OpenAI Agents SDK
This Appointlet MCP Server exposes `cancel_booking` and `list_bookings` so your OpenAI agents can inspect and modify calendar events. Your agent can query the system, find a specific appointment, and trigger a cancelation without you writing custom API wrappers. Because you are using OpenAI Agents SDK, you can set strict validation guards before the agent calls `cancel_booking`. If an agent tries to cancel an event outside of allowed parameters, the SDK catches it before the HTTP request ever hits Appointlet.
Audit Organization Pages and Meeting Types
Use `get_organization` and `list_scheduling_pages` to let your agent inspect your entire booking structure on this MCP Server. The agent can map out which scheduling pages are active and map them to incoming customer leads automatically. Trace these discovery calls directly in your OpenAI dashboard. When the agent calls `list_meeting_types` to check available durations, you see the exact payload and token usage in your run logs.
Extract Custom Intake Fields for Lead Routing
The `list_intake_fields` tool lets your agent read the custom questions you set up on your Appointlet booking forms. This means your agent knows exactly what data to expect from a lead before routing them. Combine this with `list_members` to build a smart routing agent. The agent reads the incoming form data, checks which team members are assigned to the page, and prepares the handoff to the right specialist.
Set up Appointlet 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 Appointlet tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Appointlet tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Appointlet 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="Appointlet Agent",
instructions="You have access to Appointlet 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 Appointlet. 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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Common questions about Appointlet MCP in OpenAI Agents SDK
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