How to Use the Doctolib MCP in Google ADK

Q: How do I add the Doctolib MCP Server to Google ADK?

Initialize an McpToolset with your server's HTTP URL. Pass this toolset to your LlmAgent definition to give your Google ADK agent access to the full suite of booking tools.

Q: Can I restrict the tools Doctolib exposes to Google ADK?

You can use the toolnames filter in the McpToolset configuration. This limits the agent to only the specific tools you want to expose, such as disponibilites or prendrerendezvous.

Connect Google ADK to the Doctolib MCP Server to automate your medical scheduling pipeline on Google Cloud infrastructure.

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Connect Doctolib MCP to Google ADK

Create your Vinkius account to connect Doctolib to Google ADK 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 Google ADK

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Precision doctor discovery in Google ADK

Call `rechercher_praticiens` to query specific urban areas directly. This tool bypasses generic lists, giving your agent accurate practitioner data for any location. Use `lister_specialites` to map patient requests to the correct medical discipline. Your agent uses this to refine the search before hitting the availability APIs.

Streamlined booking via Google ADK

Access `disponibilites` to pull live slot data into your agent's reasoning loop. The tool returns structured data that fits perfectly into your Gemini-powered workflows. Finalize the operation with `prendre_rendez_vous` to commit the appointment. By using this tool, your agent completes the transaction in a single step.

Clinic management for Google ADK agents

Query `lister_cabinets` to identify the correct office location for a practitioner. This ensures your agent associates the booking with the right physical address. Verify existing commitments with `lister_rendez_vous` to avoid scheduling conflicts. Your agent checks this list to maintain a clean record of all booked consultations.

Setup guide

Set up Doctolib MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Doctolib tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Doctolib_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Doctolib tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Doctolib MCP in Google ADK

Initialize an `McpToolset` with your server's HTTP URL. Pass this toolset to your `LlmAgent` definition to give your Google ADK agent access to the full suite of booking tools.

You can use the `tool_names` filter in the `McpToolset` configuration. This limits the agent to only the specific tools you want to expose, such as `disponibilites` or `prendre_rendez_vous`.

Yes, it works with any model supported by the ADK. The long-context capacity of Gemini allows the agent to reason over extensive appointment histories returned by the server.

The MCP Server returns a standard error code that the ADK catches. You can then write custom fallback logic to inform the user or retry the request after a delay.

The server acts as a transient bridge. It does not cache patient names or medical history, ensuring that your Google Cloud environment remains isolated from raw clinical data.

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