# KIMAI MCP Server

> Use this tool when you need to integrate Large Language Models (LLMs) with time tracking capabilities to manage projects, timesheets, and generate reports. It enables LLMs to interact with KIMAI 2, allowing for automated tasks such as tracking time spent on activities and generating customer reports. Ideal for use cases requiring seamless time tracking and project management within LLM applications.

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

## Description

Enables LLMs to interact with KIMAI 2 time tracking for managing timesheets, projects, activities, customers, and generating reports.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uedd70q6kn)
- **Repository:** <https://github.com/WalterP/kimai-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": "walterp-kimai-mcp"
    }
  }
}
```

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