Clockify MCP Server

The Clockify MCP Server bridges the gap between AI assistants and time‑tracking workflows by exposing a lightweight, language‑agnostic interface for creating and managing Clockify entries. Instead of manually logging hours in the web UI, developers can embed simple prompts into their AI workflows and let the assistant create or update time records on behalf of the user. This eliminates repetitive data entry, reduces context switching, and ensures that all work is captured in a single source of truth.

At its core, the server implements the MCP specification to register resources for Clockify time entries. It accepts structured requests from an LLM, validates them against the Clockify API schema, and forwards authenticated calls to Clockify’s REST endpoints. By handling authentication tokens, URL configuration, and error mapping internally, the server frees developers from boilerplate code and allows focus on business logic. The integration is designed to be plug‑in‑ready for Claude Desktop, but any MCP‑compatible client can consume it with minimal effort.

Key capabilities include:

• Create, update, and retrieve time entries: The server translates natural language prompts into precise API calls, supporting fields such as project ID, task ID, duration, and description.
• Automatic authentication handling: API tokens are injected via environment variables, keeping credentials out of the prompt and maintaining security best practices.
• Extensible resource definitions: The server’s schema can be expanded to support tags or custom fields, enabling richer time‑tracking scenarios in future releases.
• Error translation: API errors are converted into user‑friendly messages, allowing the assistant to provide actionable feedback without exposing raw HTTP status codes.

Real‑world use cases span from freelance contractors who need to log billable hours while drafting proposals, to project managers automating sprint reports by summarizing daily work. In a continuous integration pipeline, an AI assistant could automatically record build or test execution times directly into Clockify, keeping analytics up to date without manual intervention.

By integrating seamlessly with AI workflows, the Clockify MCP Server offers developers a single point of interaction for time management tasks. Its lightweight design, adherence to MCP standards, and focus on developer ergonomics make it a standout tool for anyone looking to embed time‑tracking into conversational AI experiences.