Doctolib MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Doctolib as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="doctolib_agent",
tools=tools,
system_message=(
"You help users with Doctolib. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Doctolib tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Doctolib MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Doctolib automatically
Why Use AutoGen with the Doctolib MCP Server
AutoGen provides unique advantages when paired with Doctolib through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Doctolib tools to solve complex tasks
Role-based architecture lets you assign Doctolib tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Doctolib tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Doctolib tool responses in an isolated environment
Doctolib + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Doctolib MCP Server delivers measurable value.
Collaborative analysis: one agent queries Doctolib while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Doctolib, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Doctolib data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Doctolib responses in a sandboxed execution environment
Doctolib MCP Tools for AutoGen (8)
These 8 tools become available when you connect Doctolib to AutoGen via MCP:
consulter_praticien
Consulter le profil d'un praticien
disponibilites
Vérifier les créneaux disponibles pour un praticien
lister_cabinets
Lister les cabinets médicaux
lister_rendez_vous
Lister les rendez-vous pris
lister_specialites
Lister toutes les spécialités médicales disponibles
motifs_consultation
Lister les motifs de consultation d'un praticien
prendre_rendez_vous
Prendre un rendez-vous médical
rechercher_praticiens
Restricts search to explicit city boundaries natively bypassing local lists. Rechercher des praticiens par spécialité et ville
Example Prompts for Doctolib in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Doctolib immediately.
"Search for general practitioners in Paris"
"What are the available slots for Dr. Martin (ID: 123) tomorrow?"
"List my upcoming medical appointments"
Troubleshooting Doctolib MCP Server with AutoGen
Common issues when connecting Doctolib to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Doctolib + AutoGen FAQ
Common questions about integrating Doctolib MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Doctolib with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Doctolib to AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.