What is the Clockify MCP Server?

It's a Model Context Protocol (MCP) server that provides a structured interface to the Clockify REST API, enabling AI agents to interact with your Clockify data through both curated, pre-defined tools and a versatile generic request handler.

What AI agent tools are compatible with this server?

The server is designed for seamless integration with popular AI agent platforms such as Cursor, Claude Desktop, and Claude Code (CLI). It also supports other MCP-compatible tools like Cline, Roo Code, and Windsurf using stdio communication.

Can I perform any Clockify API operation with this server?

Yes, it offers curated tools for common Clockify workflows (e.g., `create_time_entry`, `list_projects`, `list_time_entries`). For less common or custom interactions, a generic `clockify_request` tool allows direct access to any Clockify `/v1/` REST API endpoint.

What are the main requirements to use the Clockify MCP Server?

To run the server, you need Node.js 20+, pnpm 10+, and a valid Clockify API key. The API key is essential for authentication and must be provided as an environment variable (`CLOCKIFY_API_KEY`).

Clockify

Name: Clockify
Author: lewinnovation

0•

Provides a Model Context Protocol (MCP) server for the Clockify REST API, offering curated tools and a generic request interface.

The Clockify MCP Server seamlessly integrates Clockify's time tracking and project management capabilities with AI agent tools. By acting as a Model Context Protocol (MCP) server, it translates complex Clockify REST API interactions into a set of accessible, curated tools for common workflows such as retrieving user details, listing projects, creating time entries, and stopping running timers. For more advanced or less common operations, it provides a generic `clockify_request` tool, allowing AI agents to interact with virtually any Clockify `/v1/...` endpoint. This design empowers developers and users of AI platforms like Cursor and Claude Desktop to automate and manage their time tracking directly through their preferred agent environments, enhancing productivity and streamlining project oversight.

주요 기능

01Includes a versatile `clockify_request` tool for direct interaction with any Clockify `/v1/` endpoint.

02Seamlessly integrates with popular AI agent platforms like Cursor, Claude Desktop, and Claude Code.

03Leverages stdio for MCP communication, simplifying deployment and configuration.

040 GitHub stars

05Exposes curated tools for common Clockify API workflows (e.g., create_time_entry, list_projects).

06Generates types from Clockify's OpenAPI specification for robust development.

사용 사례

01Automating time entry, project management, and task tracking directly from an AI agent or assistant.

02Integrating Clockify's functionalities into AI-driven development workflows and scripts.

03Building custom AI agent prompts that leverage Clockify data for reporting or task initiation.