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Toggl MCP Server

@taiseimiyaji

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

taiseimiyaji

关于 Toggl MCP Server

暂无概览

Toggl MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "toggl-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "TOGGL_API_TOKEN",
        "lyricrime/toggl-mcp-server"
      ],
      "env": {
        "TOGGL_API_TOKEN": "your_toggl_api_token"
      }
    }
  }
}

Toggl MCP Server 工具

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Toggl MCP Server?

Toggl MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to interact with the Toggl time tracking API. It allows AI assistants to manage time entries, projects, and workspaces in Toggl through natural language.

How to use Toggl MCP Server?

Configure the MCP connection in your .cursor/mcp.json file with the Docker command and set the required TOGGL_API_TOKEN environment variable. Once configured, your AI assistant can interact with Toggl via natural language commands.

Key features of Toggl MCP Server

  • Get time entries with filtering options
  • Create, update, and delete time entries
  • Get and stop the current running time entry
  • Retrieve workspace information and workspace projects
  • Multi-platform support (linux/amd64, linux/arm64)

Use cases of Toggl MCP Server

  • Ask an AI assistant to log time for a specific task
  • Retrieve and filter today’s time entries
  • Start or stop a running timer through natural language
  • Query workspace and project details
  • Update or delete a mistaken time entry

常见问题

1

How do I set up Toggl MCP Server?

You need to add a configuration entry in `.cursor/mcp.json` that runs the Docker image `lyricrime/toggl-mcp-server` and passes the `TOGGL_API_TOKEN` environment variable. The server is then available for AI assistants to use.

2

What authentication is required?

You must provide your Toggl API token as the `TOGGL_API_TOKEN` environment variable. This token is required for the server to authenticate with the Toggl API.

3

What platforms are supported?

The server supports linux/amd64 and linux/arm64 architectures. It is distributed as a multi‑platform Docker image.

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