What environment variables are required?
You must set `TIMETAGGER_API_KEY` and `TIMETAGGER_API_URL` before running the server.
@regismesquita
基本信息
A MCP server for the timetagger tool, allowing you to start, stop timers and get reports directly from your MCP Client
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"timetagger": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/regismesquita/timetagger-mcp",
"timetagger-mcp"
],
"env": {
"TIMETAGGER_API_KEY": "",
"TIMETAGGER_API_URL": ""
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
TimeTagger MCP Server is a Model Context Protocol (MCP) server that allows you to interact with TimeTagger through Claude or other MCP-compatible AI assistants. It provides tools to query, create, update, and hide time records, manage timers, and retrieve time summaries.
Install by adding the uvx command block to your Claude Desktop configuration with environment variables TIMETAGGER_API_KEY and TIMETAGGER_API_URL. Alternatively, install uv, clone the repository, and run uv pip install -r requirements.txt. For development, use fastmcp dev timetagger_mcp.py to open the MCP Inspector interface.
You must set `TIMETAGGER_API_KEY` and `TIMETAGGER_API_URL` before running the server.
Add the `uvx` configuration block shown in the README to your `claude_desktop_config.json` file and restart Claude.
Yes, run `fastmcp dev timetagger_mcp.py` to launch the MCP Inspector interface where you can interact with all tools and resources.
It depends on Python, `uv`, and the packages listed in `requirements.txt`. The recommended runner is `uvx`, which handles dependencies automatically.
The server authenticates with your TimeTagger instance using an API key passed via the `TIMETAGGER_API_KEY` environment variable.

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