How to Use the Cal.com MCP in AutoGen

Q: How do I give my AutoGen agents access to the Cal.com MCP server?

After installing the autogen-extmcp package, use the mcpservertools function with your Vinkius server URL. This returns a list of tools that you can pass directly to your AssistantAgent constructor.

Q: How can my agents find out who is in my organization on Cal.com using AutoGen?

An agent can call the listmemberships tool. This provides a list of all team and organization memberships for the authenticated user, which can be used by other agents to make decisions about scheduling or permissions.

Q: Does this MCP server support creating new event types in Cal.com?

Yes, the createeventtype tool is available. You could have one agent responsible for designing new meeting templates and another responsible for auditing them to ensure they conform to team standards.

Let a team of AI agents debate and manage your Cal.com schedule with AutoGen. Set goals and have agents collaborate to find the best solution.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cal.com MCP to AutoGen

Create your Vinkius account to connect Cal.com to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Cal.com with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-Driven Scheduling

With AutoGen, scheduling isn't a single command; it's a conversation. You can set up multiple agents that debate the best course of action. For example, a 'Scheduler' agent might propose a time using `create_booking`, but a 'Policy' agent could check `list_memberships` and veto it if it violates a team rule. This allows for more nuanced and safe automation. The agents use the Cal.com tools to gather evidence for their arguments. They might use `list_bookings` to check for conflicts or `get_event_type` to confirm the meeting length before reaching a group decision.

An MCP Server for Multi-Agent Debate

This MCP server provides the factual basis for your agents' conversations. One agent can't just invent a free slot; another agent can immediately call `list_bookings` to verify it. This keeps the entire system grounded in the reality of your Cal.com schedule. This setup is perfect for complex tasks where the right answer isn't obvious. You can build a system where agents negotiate booking a critical meeting, balancing urgency against company policy and existing schedules. The final action is a result of that collaboration.

Simulate and Audit Calendar Actions

Use one agent as an 'Auditor' that critiques the plans of another. The 'Planner' agent could propose a series of actions, like deleting an old event type with `delete_event_type` and creating a new one with `create_event_type`. The 'Auditor' agent would then review the plan, using read-only tools like `get_event_type` to flag any potential problems before execution. This conversational approach lets you build safer automation. The agents talk through the problem, challenge assumptions, and only act once they agree. It turns your calendar management into a peer-reviewed process.

Setup guide

Set up Cal.com MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Cal.com tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Cal.com_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cal.com data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Cal.com_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Cal.com data")
    print(result.messages[-1].content)

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 Cal.com. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cal.com now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cal.com MCP in AutoGen

After installing the `autogen-ext[mcp]` package, use the `mcp_server_tools` function with your Vinkius server URL. This returns a list of tools that you can pass directly to your `AssistantAgent` constructor.

Absolutely. This is a core strength of AutoGen. You can have a 'Requestor' agent propose a booking, which triggers a conversation with an 'Approver' agent that uses tools like `get_booking` to review the details before giving the final go-ahead.

An agent can call the `list_memberships` tool. This provides a list of all team and organization memberships for the authenticated user, which can be used by other agents to make decisions about scheduling or permissions.

Yes, the `create_event_type` tool is available. You could have one agent responsible for designing new meeting templates and another responsible for auditing them to ensure they conform to team standards.

Your data—specifically booking info, user profiles, and event type settings—is only accessed when an agent invokes a tool. The server runs in a secure Vinkius sandbox, authenticated via your endpoint token. The system doesn't store your data; it's fetched on-demand by the agents during their conversation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript