Clockify Time-Tracking MCP Server (Early Scaffold)

Overview

An early-stage Model Context Protocol (MCP) server scaffold intended to expose the Clockify time-tracking API as tools an LLM agent can call. The repository is a minimal Node.js starting point (CommonJS package.json) capturing the integration intent.

Why It Exists

To let an AI assistant read and manipulate Clockify time entries, projects, and reports directly through MCP rather than via manual API glue, reducing friction in time-tracking and reporting workflows.

What We Built

A minimal Node.js project initialized for an MCP server (clockify-mcp), set up as the foundation for wrapping Clockify endpoints as MCP tools. At this stage it is an early scaffold rather than a complete server.

Technologies & Approach

Node.js with CommonJS modules, targeting the Model Context Protocol so the resulting tools are consumable by any MCP-compatible LLM client.

Outcome / Impact

Establishes the pattern and starting point for turning a third-party SaaS API into agent-callable MCP tools. Honestly framed: an early R&D scaffold validating the integration direction rather than a finished product.

Capabilities Demonstrated

• Designing MCP servers to wrap third-party SaaS APIs
• Making productivity tools accessible to LLM agents
• Rapid Node.js project scaffolding for integrations