# Clockify MCP Server

> Use this tool when you need to manage time tracking data through natural language commands, enabling AI assistants to interact with the Clockify API to create, update, and retrieve time entries, projects, and workspaces. It solves problems such as automating time tracking tasks and streamlining project management workflows. The tool accepts natural language inputs and outputs time tracking data, making it ideal for use cases where voice or text-based commands are preferred.

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

## Description

Enables AI assistants to interact with Clockify time tracking API to manage time entries, projects, tasks, and workspaces through natural language commands.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rsa8mbrzhb)
- **Repository:** <https://github.com/aslamanver/mcp_clockify>

## 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": "aslamanver-mcp-clockify"
    }
  }
}
```

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