Kimai
A comprehensive Model Context Protocol (MCP) server for Kimai time-tracking integration. Provides tools for timesheet management, project tracking, team collaboration, and reporting with smart user selection and Claude Desktop integration.
What is Kimai?
Kimai is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to comprehensive model context protocol (mcp) server for kimai time-tracking integration. provides tools for timesheet management, project tracking, team collaboration, and reporting with smart user sele...
A comprehensive Model Context Protocol (MCP) server for Kimai time-tracking integration. Provides tools for timesheet management, project tracking, team collaboration, and reporting with smart user selection and Claude Desktop integration.
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A comprehensive Model Context Protocol (MCP) server for Kima
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx kimai-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Kimai
Kimai MCP Server is a comprehensive Python-based MCP integration for the open-source Kimai time-tracking platform, exposing 12 tool categories that cover the full breadth of Kimai's API. It supports timesheet management, timer start/stop/restart, project and activity CRUD, team access control, absence management with automatic year-boundary splitting, custom field management, and advanced project analytics — all accessible through natural-language conversation in Claude or other AI agents. The server authenticates with your self-hosted or cloud Kimai instance via an API token and connects over HTTPS.
Prerequisites
- Python 3.8+ with pip installed
- A running Kimai instance (self-hosted or Kimai Cloud) with API access enabled
- A Kimai API token generated from your user profile settings
- An MCP-compatible client such as Claude Desktop
Install the kimai-mcp package
Install kimai-mcp from PyPI using pip.
pip install kimai-mcpObtain your Kimai API token
Log into your Kimai instance, navigate to your user profile settings, open the API section, and create or copy an existing API token.
Test the server manually
Verify the server starts and can reach your Kimai instance by running it directly with your credentials.
kimai-mcp --kimai-url=https://your-kimai.com --kimai-token=your-tokenConfigure your MCP client
Add the kimai-mcp server to your Claude Desktop configuration, passing your Kimai URL and API token via environment variables for security.
Verify available tools
Once connected, ask Claude to list the available Kimai tools or describe what it can do with your Kimai instance.
Kimai Examples
Client configuration
Add kimai-mcp to Claude Desktop using environment variables for credentials so they are not hard-coded in args.
{
"mcpServers": {
"kimai": {
"command": "kimai-mcp",
"args": [],
"env": {
"KIMAI_URL": "https://your-kimai.com",
"KIMAI_API_TOKEN": "your-api-token-here",
"KIMAI_SSL_VERIFY": "true"
}
}
}
}Prompts to try
Use natural language to manage your time tracking directly from your AI assistant.
- "Start a timer for project 'Website Redesign', activity 'Development'."
- "Show me all timesheets I logged this week."
- "Stop my current running timer."
- "Create a new project called Q3 Marketing with customer Acme Corp."
- "Generate a time report for the last 30 days grouped by project."
- "Add a vacation absence from December 24 to January 2."Troubleshooting Kimai
Authentication fails with 401 Unauthorized
Double-check that KIMAI_API_TOKEN is the correct token from your Kimai user profile (not a password). Tokens are generated in Profile > API and must have appropriate permissions. Regenerate the token if needed.
SSL certificate verification errors when connecting to Kimai
If your Kimai instance uses a self-signed certificate, set KIMAI_SSL_VERIFY to the path of your CA bundle file, or set it to 'false' to disable verification (not recommended for production).
Absence creation fails for date ranges spanning year boundaries
Kimai's API has a 30-day limit per absence entry. The kimai-mcp server handles auto-splitting for year-boundary spans, but very long ranges may still require manual splitting into multiple requests.
Frequently Asked Questions about Kimai
What is Kimai?
Kimai is a Model Context Protocol (MCP) server that comprehensive model context protocol (mcp) server for kimai time-tracking integration. provides tools for timesheet management, project tracking, team collaboration, and reporting with smart user selection and claude desktop integration. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Kimai?
Follow the installation instructions on the Kimai GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Kimai?
Kimai works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Kimai free to use?
Yes, Kimai is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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