# TrackingTime MCP Server

> Use this tool when you need to manage projects, tasks, and team assignments through AI assistants, allowing for seamless time tracking and workflow organization. It solves problems of manual time logging and project management by providing a natural language interface to start/stop timers and log time entries. Ideal for use cases where automated project tracking and team collaboration are required.

Canonical page: https://skillsregistry.net/skills/ficus33-trackingtime-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ficus33-trackingtime-mcp

## Description

Connects AI assistants to the TrackingTime API v4 for managing projects, tasks, and team assignments. Users can start or stop timers, log manual time entries, and organize project workflows using natural language.

## Trust

- **Trust score (0–1):** 0.99
- **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/chkowry85v)
- **Repository:** <https://github.com/ficus33/trackingtime-mcp>

## 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": "ficus33-trackingtime-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ficus33-trackingtime-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ficus33-trackingtime-mcp/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