How to Use the Breathing Timer MCP in Claude Code

Run guided breathing routines as headless scripts with Claude Code.

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Connect Breathing Timer MCP to Claude Code

Create your Vinkius account to connect Breathing Timer to Claude Code 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 Claude Code

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MCP Server: Scripted Scheduling

Need to script a full wellness sequence? Run `generate_breathing_schedule` to get the desired cycle breakdown. Your CLI pipeline can then pipe this output directly into another tool for reporting or logging. This makes the MCP perfect for automated cron jobs where you need predictable, structured outputs.

Extracting Timing Rules

For setup scripts, you often just need the baseline rules. Use `query_breathing_parameters` to pull out the default timing requirements for any technique. This is ideal because it provides a single, clean output that can be used as an environment variable or configuration file.

Calculating Cycle Durations in Scripts

The `calculate_single_cycle_duration` tool reliably figures out the total time for one full cycle. This is crucial when your script needs to know exactly how long a routine segment will run. It's dependable, giving you a single, measurable numerical value suitable for scripting logic.

Setup guide

Set up Breathing Timer MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see breathing-timer-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Breathing Timer transactions." It will automatically discover and invoke the available Breathing Timer tools.

Terminal

claude mcp add --transport http breathing-timer-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Breathing Timer MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "breathing-timer-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Claude Code

The MCP only touches structured timing parameters and cycle durations. Credentials are never stored on disk; they flow through a zero-trust proxy during execution.

Yes, it's designed for command-line use cases, making it perfect for Docker containers or GitHub Actions where you need silent, reliable output.

It handles structured timing parameters and calculated cycle durations. This is purely time-based information necessary for scripting accurate cycles.

The output of the MCP tools is standardized JSON, making it simple to parse and incorporate into subsequent shell scripts or pipeline steps.

It manages structured timing parameters and cycle durations. The output is always numerical time values, making it predictable for scripting logic.

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