# TrackingTime MCP

> Use this tool when you need to integrate AI assistants with time tracking data, enabling queries on time entries, projects, and team performance using natural language inputs. It solves problems related to data accessibility and automation, providing outputs such as time entry details, project status, and team metrics. Ideal for use cases where AI-driven insights on time tracking data are required, such as automated reporting, project management, and team performance analysis.

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

## Description

Connects AI assistants to TrackingTime for querying time entries, projects, tasks, customers, and team data using natural language.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e63jfk4jrl)
- **Repository:** <https://github.com/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": "trackingtime-mcp"
    }
  }
}
```

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