# Clockify

> Use this tool when you need to manage time entries and track work hours seamlessly through natural language prompts. It solves problems of manual time tracking and provides an interface for creating billable time entries, retrieving workspace information, and accessing user data. The tool is ideal for users who want to log their work hours efficiently without leaving their AI assistant interface.

Canonical page: https://skillsregistry.net/skills/https-eduardo-clockify  
JSON: https://api.skillsregistry.net/v1/skills/https-eduardo-clockify

## Description

Clockify MCP Server integrates with the Clockify time tracking API, allowing AI assistants to manage time entries through natural language prompts. Developed by https-eduardo, this TypeScript implementation provides tools for creating billable time entries, retrieving workspace information, listing projects, and accessing user data. The server handles authentication via Clockify API tokens and exposes four main tools that abstract the complexity of the Clockify API, making it particularly valuable for users who want to log their work hours without leaving their AI assistant interface. Future implementations will include deleting and editing time entries.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/https-eduardo-clockify)
- **Repository:** <https://github.com/https-eduardo/clockify-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "https-eduardo-clockify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/https-eduardo-clockify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/https-eduardo-clockify/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt