How to Use the Breathing Timer MCP in CrewAI

Q: How does CrewAI handle complex Breathing Timer goals?

The crew works together. One agent might use generatebreathingschedule to build a plan, and another will execute the steps sequentially, ensuring full coverage of the breathing routine.

Run autonomous Breathing Timer operations with CrewAI.

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Connect Breathing Timer MCP to CrewAI

Create your Vinkius account to connect Breathing Timer 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 Breathing Timer with CrewAI

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Perplexity

Analyzing Cycles in CrewAI

When multiple agents collaborate on wellness goals, they need to know the basics. Use `calculate_single_cycle_duration` so that specialized agents can accurately measure and report on individual cycle times. The shared memory benefits from this consistent data point. This ensures every agent speaks the same timing language.

Generating Breathing Timers with CrewAI

The `generate_breathing_schedule` tool allows your entire crew to plan a multi-phase workout. One agent can define the goal, and another can execute the timeline based on the structure provided by this MCP. This is perfect for building complex, autonomous operations.

Defining Parameters with CrewAI

Before any work starts, agents must agree on the rules. Use `query_breathing_parameters` to define and retrieve the default timing settings. This establishes a common knowledge base that all specialized agents can rely on. It locks in the required inputs before execution begins.

Setup guide

Set up Breathing Timer 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 Breathing Timer tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

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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="Breathing Timer Analyst",
        goal="Access and analyze Breathing Timer data via MCP.",
        backstory="Expert analyst with direct Breathing Timer access.",
        tools=mcp_tools,
    )

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

The crew works together. One agent might use `generate_breathing_schedule` to build a plan, and another will execute the steps sequentially, ensuring full coverage of the breathing routine.

Yes. You can assign roles—like 'Scheduler' or 'Monitor'—to specialized agents that use this MCP to autonomously guide and track breathwork cycles.

It primarily uses structured timing parameters, which are fetched via `query_breathing_parameters`, defining the core metrics of Box Breathing or 4-7-8.

By chaining tools. One agent might calculate duration using `calculate_single_cycle_duration`, and another takes that output to refine the overall plan via `generate_breathing_schedule`.

It handles structured timing parameters, cycle durations, and recommended breathing schedules for guided respiratory practice.

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