How to Use the Cronofy MCP in CrewAI

Q: How do I connect Cronofy to my CrewAI setup?

Install the crewaitools package and pass your Vinkius endpoint URL directly into the mcps array on your Agent definition. The framework handles the HTTP transport automatically.

Q: How do I restrict Cronofy tools in CrewAI?

Import MCPServerHTTP and configure the toolfilter parameter. This prevents your research agent from accidentally deleting meetings by hiding the mutation endpoints entirely.

Give your CrewAI agents full control over Cronofy to research availability, negotiate times, and manage calendars.

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Connect Cronofy MCP to CrewAI

Create your Vinkius account to connect Cronofy to CrewAI 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 CrewAI

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Perplexity

Delegate Autonomous Scheduling

Assigning `query_availability` to a specialized scheduling agent lets it map out complex cross-provider overlaps for your entire team. The agent analyzes the returned JSON limits and determines the optimal meeting time based on the parameters you set in its role description. Once the researcher finds a slot, it passes the data to an execution agent equipped with `create_event`. This second crew member provisions the actual calendar block via the MCP endpoint and notifies the participants, completing the entire workflow without you ever opening a calendar app.

Monitor and Clean Up Schedules

A dedicated maintenance agent uses `read_events` to constantly poll your unified Google, iCloud, and Exchange overlays. It scans the payload for canceled meetings or outdated holds that clutter up your week. Upon finding dead events, the agent triggers `delete_event` to permanently wipe them from the provider. You run this crew sequentially every night to ensure your calendar stays perfectly organized for the next morning.

Filter CrewAI Tool Access

Firing `get_user_info` lets your crew pull gateway auth bounds before modifying any records. Managing permissions matters when giving AI write access, so you use the framework's tool filters to keep destructive operations away from junior agents. Your agents pass context back and forth using shared memory as they interact with the Cronofy MCP Server. They verify profiles and check boundaries to ensure they never accidentally modify the wrong external stakeholder's schedule.

Setup guide

Set up Cronofy MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Cronofy tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cronofy Analyst",
    goal="Access and analyze Cronofy data via MCP.",
    backstory="Expert analyst with direct Cronofy access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Cronofy transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Cronofy Analyst",
        goal="Access and analyze Cronofy data via MCP.",
        backstory="Expert analyst with direct Cronofy access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Cronofy transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 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 CrewAI

Install the crewai[tools] package and pass your Vinkius endpoint URL directly into the mcps array on your Agent definition. The framework handles the HTTP transport automatically.

Yes. You assign specific calendar operations to different roles. One agent reads the schedule while another creates the events, but they both route through the same Vinkius endpoint token.

Import MCPServerHTTP and configure the tool_filter parameter. This prevents your research agent from accidentally deleting meetings by hiding the mutation endpoints entirely.

The system unifies Exchange, iCloud, and Google under a single interface. Your agents write one standardized query to search availability across any supported corporate or personal account.

Only you and your connected AI client. The remote execution environment pulls your private event locations and participant lists, hands them to your crew, and immediately burns the container to the ground.

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