How to Use the Cronofy MCP in AutoGen

Q: What's a good agent setup for Cronofy and AutoGen?

A solid starting point is a UserProxyAgent that takes your instructions and an AssistantAgent equipped with the Cronofy tools. The assistant can then use tools like readevents or deleteevent and report back its progress.

Deploy teams of AI agents that debate, schedule, and manage calendars for you using Cronofy and AutoGen.

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Connect Cronofy MCP to AutoGen

Create your Vinkius account to connect Cronofy 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.

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Setup Cronofy with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Let agents negotiate meeting times

This isn't about one agent booking a meeting. It's about a team of agents collaborating. One agent, the 'Proposer', can use `query_availability` to suggest a time. A second agent, the 'Validator', can use `get_free_busy` to check for conflicts across other calendars. They'll discuss the options in a conversation. Once they reach a consensus, a third agent, the 'Booker', uses `create_event` to finalize it. You're building a system that makes decisions through conversation, not just a simple script.

Enforce policies with a 'Compliance' agent

With AutoGen, you can create agents with specific roles. A 'Scheduler' agent might try to book a meeting using `create_scheduling_request`. But a 'Compliance' agent can intercept the plan and use `get_account` to check if the request follows company rules. The agents will debate. The Compliance agent might reject the request if it's outside working hours or with too many people. This creates a robust system where actions are vetted before they're executed.

Use an AutoGen team to monitor calendars

Set up an 'Admin' agent whose job is to monitor your scheduling setup. It can periodically use `list_calendars` and `list_profiles` to check the configuration. This MCP Server gives it all the tools it needs. If the Admin agent finds a problem, like a disconnected calendar, it doesn't just fail. It starts a conversation with a `UserProxyAgent` to report the issue. This turns monitoring from a passive check into an active, conversational process.

Setup guide

Set up Cronofy 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 Cronofy 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="Cronofy_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Cronofy_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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

Assign different tools to different agents. For example, one agent gets `query_availability` and another gets `create_event`. They then use AutoGen's conversation framework to work together to find a time and book it.

Yes, that's a perfect use case. Create a 'Policy' agent that has no scheduling tools but has access to `get_account`. It can then review plans from other agents and approve or deny them based on your rules.

A solid starting point is a `UserProxyAgent` that takes your instructions and an `AssistantAgent` equipped with the Cronofy tools. The assistant can then use tools like `read_events` or `delete_event` and report back its progress.

The output of any tool call, like the list of free times from `get_free_busy`, becomes a message in the agent conversation. Other agents in the group can then read this message and use it to inform their own next steps.

This server processes calendar event and user profile information. Vinkius secures the tool execution in an ephemeral sandbox. The data returned from a tool becomes part of your AutoGen conversation history, which you control.

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