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Doctolib MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Doctolib as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="doctolib_agent",
    instruction=(
        "You help users interact with Doctolib "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Doctolib
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Doctolib MCP Server

Connect your Doctolib partner account to any AI agent and take full control of your healthcare scheduling and practitioner research through natural conversation.

Google ADK natively supports Doctolib as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • Practitioner Discovery — Search for doctors and specialists by specialty and city, identifying bounded office locations and member approximations natively
  • Availability Tracking — Identify bounded routing spaces verifying absolute time availability slots attached directly matching the targeted doctor
  • Appointment Management — List complex mappings evaluating exactly scheduled times and identifying physical reservations active within your account
  • Live Booking — Commands the backend orchestrating real-time database locks inserting explicit reservation parameters structurally binding to an exact time slot
  • Visit Motive Identification — Read available reason categories explicitly supported by a given Practitioner required for slot lock verification
  • Practice Navigation — Perform structural extraction of localized entity bounds configuring the raw office locations active within the application
  • Specialty Mapping — Enumerate explicitly attached structured roles defining valid medical specialties and practitioner targets globally

The Doctolib MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Doctolib to Google ADK via MCP

Follow these steps to integrate the Doctolib MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 8 tools from Doctolib via MCP

Why Use Google ADK with the Doctolib MCP Server

Google ADK provides unique advantages when paired with Doctolib through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Doctolib

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Doctolib tools with BigQuery, Vertex AI, and Cloud Functions

Doctolib + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Doctolib MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Doctolib and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Doctolib tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Doctolib regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Doctolib

Doctolib MCP Tools for Google ADK (8)

These 8 tools become available when you connect Doctolib to Google ADK via MCP:

01

consulter_praticien

Consulter le profil d'un praticien

02

disponibilites

Vérifier les créneaux disponibles pour un praticien

03

lister_cabinets

Lister les cabinets médicaux

04

lister_rendez_vous

Lister les rendez-vous pris

05

lister_specialites

Lister toutes les spécialités médicales disponibles

06

motifs_consultation

Lister les motifs de consultation d'un praticien

07

prendre_rendez_vous

Prendre un rendez-vous médical

08

rechercher_praticiens

Restricts search to explicit city boundaries natively bypassing local lists. Rechercher des praticiens par spécialité et ville

Example Prompts for Doctolib in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Doctolib immediately.

01

"Search for general practitioners in Paris"

02

"What are the available slots for Dr. Martin (ID: 123) tomorrow?"

03

"List my upcoming medical appointments"

Troubleshooting Doctolib MCP Server with Google ADK

Common issues when connecting Doctolib to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Doctolib + Google ADK FAQ

Common questions about integrating Doctolib MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Doctolib to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.