How to Use the Doctolib MCP in CrewAI

Q: How do I expose Doctolib MCP Server tools to a specific CrewAI agent?

Pass the server's endpoint URL directly into the agent's mcps list during setup. The agent will auto-discover and utilize tools like disponibilites and prendrerendezvous.

Q: How do I restrict which Doctolib tools a CrewAI agent can access?

Use MCPServerHTTP from crewai.mcp and define a toolfilter. This lets you limit a research agent to rechercherpraticiens while reserving booking tools for your scheduling agent.

Q: Can the crew list all available medical specialties?

Yes. The listerspecialites tool provides the full index of specialties, allowing your agents to accurately categorize patient requests before searching.

Deploy a collaborative crew of specialized agents in CrewAI to manage Doctolib schedules and find medical specialists via MCP.

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Connect Doctolib MCP to CrewAI

Create your Vinkius account to connect Doctolib to CrewAI 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 CrewAI

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Collaborative Medical Search Teams

One agent can't do everything. CrewAI lets you set up a research agent to find specialists using `rechercher_praticiens` and a scheduling agent to check open slots with `disponibilites`. They share context and work in parallel to find the best match. This role-based approach ensures that the agent looking up `motifs_consultation` doesn't get bogged down in booking details. They pass clean, structured data to each other using CrewAI's shared memory.

Autonomous Scheduling with MCP Server

Managing active appointments requires constant monitoring. This MCP Server allows your CrewAI crew to deploy a supervisor agent that runs `lister_rendez_vous` daily to check for upcoming visits. If a conflict arises, a coordinator agent takes action to resolve it. The coordinator agent can check alternative clinics using `lister_cabinets` and suggest new times. This keeps your medical calendar organized without requiring constant manual oversight.

Multi-Agent Appointment Verification

Booking errors are costly. Before invoking the MCP Server tools like `prendre_rendez_vous`, a CrewAI verifier agent cross-checks the doctor's profile using `consulter_praticien` against the patient's medical requirements. Only when all criteria are met does the booking agent execute the transaction. This multi-layered validation process dramatically reduces the risk of incorrect bookings.

Setup guide

Set up Doctolib MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Doctolib tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Doctolib Analyst",
    goal="Access and analyze Doctolib data via MCP.",
    backstory="Expert analyst with direct Doctolib access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Doctolib transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Doctolib Analyst",
        goal="Access and analyze Doctolib data via MCP.",
        backstory="Expert analyst with direct Doctolib access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Doctolib transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Doctolib. 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 Doctolib MCP in CrewAI

Pass the server's endpoint URL directly into the agent's `mcps` list during setup. The agent will auto-discover and utilize tools like `disponibilites` and `prendre_rendez_vous`.

Yes, CrewAI natively supports MCP configurations that share context. A search agent using `rechercher_praticiens` can instantly hand off doctor details to a scheduling agent waiting to call `disponibilites`.

Use `MCPServerHTTP` from `crewai.mcp` and define a `tool_filter`. This lets you limit a research agent to `rechercher_praticiens` while reserving booking tools for your scheduling agent.

Yes. The `lister_specialites` tool provides the full index of specialties, allowing your agents to accurately categorize patient requests before searching.

All patient booking records are processed strictly within your local runtime environment. Our managed gateway uses secure, ephemeral isolates that never persist medical data or session logs.

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