How to Use the TrackingTime MCP in Claude Code

Q: How can I check all time logs using TrackingTime with Claude Code?

Run listtimeentries. This command streams the full history of logged hours directly into your terminal output. It's perfect for validating billing data in a headless environment.

Q: Does TrackingTime's MCP Server allow project creation with Claude Code?

Yes, you can call createproject from any script or CI/CD job. This allows your deployment process to initialize resource records automatically when needed.

Q: What is the best way to list team members for TrackingTime with Claude Code?

Use listworkspaceusers. The output provides a clean, machine-readable manifest of all available users. This data type is essential when enforcing role-based access control in your scripts.

Q: Can I update task details using TrackingTime with Claude Code?

You use updatetask and pass the necessary identifiers and new values through standard input. This keeps your project records consistent even when running automated nightly builds.

Run production-grade tracking reports and manage resources using Claude Code's headless MCP Server.

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Create your Vinkius account to connect TrackingTime 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 TrackingTime with Claude Code

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Batch Time Logging for Claude Code

When integrating time tracking into a pipeline, you need reliability. Use `list_time_entries` to pull all historical records into your script's memory. Then, if necessary, use `add_time_entry` programmatically via a cron job or GitHub Action run. This MCP Server ensures that data is available for automation. You don't need a GUI; you just send the commands and get structured JSON output back to pipe into your next step.

Project Setup in CI/CD Pipelines

If a new repository means a new project, you can automate setup. Run `create_project` at the start of a pipeline run. The resulting data structure is immediately available for subsequent steps that might need to check client lists using `list_customers`. This MCP Server makes your pipelines self-contained. It lets you manage both initial scope definition (`create_project`) and daily status checks (`list_projects`) without human intervention.

Resource Management via MCP Server

Managing team resources is crucial for billing. Use `list_workspace_users` to verify who has access before running a task. You can also check the current user context with `get_user_profile`. If you need to modify something, use `update_task`, passing necessary IDs and new parameters. Claude Code treats this MCP Server like any other API endpoint: reliable, scriptable, and ready for production deployment.

Setup guide

Set up TrackingTime 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 trackingtime-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http trackingtime-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 TrackingTime 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": {
    "trackingtime-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 TrackingTime. 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 TrackingTime MCP in Claude Code

Run `list_time_entries`. This command streams the full history of logged hours directly into your terminal output. It's perfect for validating billing data in a headless environment.

Yes, you can call `create_project` from any script or CI/CD job. This allows your deployment process to initialize resource records automatically when needed.

Use `list_workspace_users`. The output provides a clean, machine-readable manifest of all available users. This data type is essential when enforcing role-based access control in your scripts.

You use `update_task` and pass the necessary identifiers and new values through standard input. This keeps your project records consistent even when running automated nightly builds.

This server handles time logs, specifically recording timestamps and duration strings, alongside user profile information (strings).

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