How to Use the MyTime MCP in CrewAI

Q: How do I configure the MyTime MCP server in CrewAI?

Install the crewaitools package. Add your Vinkius URL directly to the mcps array in your Agent definition. The framework automatically discovers and maps the tools.

Q: Can I assign specific MyTime tools to different CrewAI agents?

Yes. Use the MCPServerHTTP class and apply a toolfilter. You can give your booking agent access to scheduling tools while restricting your support agent to read-only functions.

Q: Can this MCP Server manage multiple locations?

Yes. An orchestration agent can run listlocations to map your business footprint. It then delegates location-specific tasks to regional sub-agents.

Deploy an autonomous CrewAI team to run your MyTime operations. Specialized agents handle bookings, reviews, and staff schedules.

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Connect MyTime MCP to CrewAI

Create your Vinkius account to connect MyTime 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 MyTime with CrewAI

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Perplexity

CrewAI Operations Team

One agent cannot manage a busy clinic. CrewAI lets you split the workload. You assign a Receptionist agent to monitor `list_appointments` and flag upcoming conflicts. A separate Manager agent takes that data and runs `get_appointment` to verify specific booking details. They share memory and pass context back and forth. You get a self-correcting system that manages the calendar without human input.

Delegated Staff Management

Scheduling requires constant adjustments. You can build a Scheduler agent whose only job is checking `get_availability`. When a staff member calls in sick, the agent pulls the roster using `list_staff`. It then identifies affected bookings and drafts reschedule notices. The multi-agent setup isolates this task from your general customer service bot.

Automated Customer Intelligence

Your marketing agent needs data to run campaigns. It can autonomously poll `list_customers` to find clients who haven't visited in six months. Simultaneously, a QA agent runs `list_reviews` to find recurring complaints. The MCP Server feeds raw data into the pipeline. The agents analyze the JSON, synthesize the findings, and generate a daily operations report.

Setup guide

Set up MyTime 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 MyTime tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent MyTime 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="MyTime Analyst",
        goal="Access and analyze MyTime data via MCP.",
        backstory="Expert analyst with direct MyTime access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent MyTime 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 MyTime. 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 MyTime MCP in CrewAI

Install the `crewai[tools]` package. Add your Vinkius URL directly to the `mcps` array in your Agent definition. The framework automatically discovers and maps the tools.

Yes. Use the `MCPServerHTTP` class and apply a `tool_filter`. You can give your booking agent access to scheduling tools while restricting your support agent to read-only functions.

You configure a background agent to run on a loop. It repeatedly calls `list_appointments`. When it detects a new entry, it passes the data to a downstream agent for processing.

Yes. An orchestration agent can run `list_locations` to map your business footprint. It then delegates location-specific tasks to regional sub-agents.

Security operates at the infrastructure level. When your agents retrieve employee shifts and customer service notes, Vinkius processes the payload in a strict, isolated sandbox that terminates instantly after the API handoff.

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