How to Use the Doctolib MCP in OpenAI Agents SDK

Q: How do I integrate Doctolib with OpenAI Agents SDK?

Use the MCPServerStreamableHttp class to point your agent at the Doctolib endpoint. Your agent will auto-discover the tools and gain the ability to manage patient schedules immediately.

Book medical appointments directly in OpenAI Agents SDK with the Doctolib MCP Server for production-ready scheduling workflows.

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Connect Doctolib MCP to OpenAI Agents SDK

Create your Vinkius account to connect Doctolib 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.

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Setup Doctolib with OpenAI Agents SDK

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Search and verify with OpenAI Agents SDK

Locate medical specialists using `rechercher_praticiens` to filter by city and specialty. Your agents get precise results without scraping or manual lookups. Validate practitioner details via `consulter_praticien` before proceeding. This ensures your agent always targets the correct provider for the patient's needs.

Automate bookings in the OpenAI Agents SDK

Check real-time slot availability with `disponibilites` to identify open gaps. Your agent handles the logic of finding a time that matches the user's constraints. Execute the final booking using `prendre_rendez_vous` once the patient selects a slot. The system ensures the process stays within your defined safety guardrails.

Manage patient records via MCP Server

Track active appointments by calling `lister_rendez_vous` to keep your agent's context current. This allows the agent to update or confirm status without human intervention. Retrieve consultation reasons with `motifs_consultation` to ensure the correct visit type. This step prevents booking errors by aligning the appointment with the clinic's requirements.

Setup guide

Set up Doctolib MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Doctolib tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Doctolib tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Doctolib tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="Doctolib Agent",
            instructions="You have access to Doctolib tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Doctolib MCP in OpenAI Agents SDK

Use the `MCPServerStreamableHttp` class to point your agent at the Doctolib endpoint. Your agent will auto-discover the tools and gain the ability to manage patient schedules immediately.

Yes, pass your session token through the server headers when initializing the connection. The server handles the Doctolib session management so your agent focuses on the booking flow.

It does. You can assign the Doctolib tools to a specific specialist agent and use the SDK's built-in handoff logic to transfer control once the appointment is confirmed.

The server includes built-in request spacing to stay within provider limits. This prevents your agent from triggering blocks when checking `disponibilites` repeatedly.

Your agent only processes the specific appointment data you request. All traffic is encrypted, and the server does not store any PII, keeping your patient records private.

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