What is the TMetric MCP Server?

The TMetric MCP Server is a minimal Model Context Protocol server that integrates TMetric time tracking functionality, allowing AI models like Claude to automate time management tasks and interact directly with your TMetric account.

How does TMetric MCP integrate with AI-driven automation?

It provides a set of tools that AI assistants can invoke, enabling them to list TMetric projects, start/stop timers, monitor current work, and even delete time entries, all through conversational commands or automated workflows powered by AI.

What specific time tracking actions can I perform with this tool?

You can list all your TMetric projects, start and stop timers on specific projects or tasks, check the status of your currently running timer, and delete existing time entries. It also supports integrating time tracking with GitLab issues.

Can I integrate TMetric time tracking with GitLab issues using this server?

Yes, the TMetric MCP Server includes specific functionality to integrate with GitLab issues, allowing you to link your time entries directly to your development tasks for streamlined project management and accurate time reporting.

How do I set up and configure the TMetric MCP Server?

You can install it via npm, then add it to your Claude MCP setup using the `claude mcp add` command, specifying its location and your `TMETRIC_API_TOKEN`. Alternatively, it can be run directly using `npx` from a GitHub repository or local path.

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TMetric

Name: TMetric
Author: guglielmo

byguglielmo

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Integrates TMetric time tracking functionality into the Model Context Protocol for AI-driven automation.

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This server bridges the gap between TMetric's powerful time tracking features and AI assistants that support the Model Context Protocol, such as Claude Code. It allows users to programmatically manage their time entries, projects, and tasks within TMetric through conversational AI commands or automated workflows, streamlining productivity and development operations.

Características Principales

List TMetric projects
Start and stop timers on projects/tasks
Monitor current timer status
Integrate with GitLab issues for time tracking
Delete existing time entries
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Casos de Uso

Automating time tracking through conversational AI interfaces
Integrating TMetric with developer workflows, such as linking time entries to GitLab issues
Programmatically managing TMetric projects and time entries from an MCP-compatible environment