# Tracking Time MCP

> Use this tool when you need to monitor and analyze time spent on tasks, projects, and team performance. It solves problems related to productivity tracking, time management, and data-driven decision making by providing insights into time entries, projects, and tasks. The Tracking Time MCP tool accepts queries and returns relevant data, making it ideal for use cases where accurate time tracking and team productivity analysis are crucial.

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

## Description

Query time entries, projects, tasks, and team productivity data from any AI assistant.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-24

## Source

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

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