# Clockify Time Entry Manager

> Use this tool when you need to streamline your time tracking workflow and manage Clockify time entries efficiently. It solves problems of manual time entry and tracking by allowing users to add, view, and control time entries through AI-powered interactions. The tool accepts natural language prompts as input and outputs controlled time tracking actions, making it ideal for automating time management tasks.

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

## Description

Manage your Clockify time entries effortlessly by sending prompts to an LLM. Add, view, and control your time tracking directly through AI-powered interactions. Simplify your time management workflow with seamless integration to Clockify.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-06-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/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-mcp-server"
    }
  }
}
```

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