跳过安装。2 分钟内即可运行。
在 cloud.anythingmcp.com 开始免费试用，一键添加 Kimai，然后将你的 AI 客户端（Claude、ChatGPT、Copilot 或 Cursor）指向生成的 MCP 端点。无需 Docker，无需 git clone，无需任何工程经验。
Summary
Kimai — the self-hosted open-source time tracker. Read and create timesheets, browse customers, projects, activities and users, and check the running clock. REST API v1 on your own Kimai instance, bearer API token.
试试这样问
Kimai 的示例提示
点击任意提示即可复制，然后粘贴到 Claude、ChatGPT、Cursor、Gemini、Copilot 或 OpenClaw 中，在该连接器上运行。
Claude 是 AI，可能会出错。请核对回答。
💡 无需安装? 直接使用 cloud.anythingmcp.com。 登录、点击 Connectors → Kimai、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
Kimai + Gemini
Kimai — the self-hosted open-source time tracker. Read and create timesheets, browse customers, projects, activities and users, and check the running clock. REST API v1 on your own Kimai instance, bearer API token.
前提条件
完整的设置说明已内置在连接器中 (在 store 中选择连接器时可见)。所需环境变量:
KIMAI_URL, KIMAI_API_TOKEN
步骤 1 — 获取凭证
Getting a token (Kimai 2.x)
- Sign in to your Kimai instance, open your user profile and go to the API tab.
- Create an API token and copy it into
KIMAI_API_TOKEN. Kimai 2.x uses a bearer token here; the olderX-AUTH-USER/X-AUTH-TOKENheader pair from Kimai 1.x is deprecated and is not what this adapter sends. - Set
KIMAI_URLto the base URL of your instance without a trailing slash and without/api, e.g.https://time.example.com. The adapter appends/api.
…(continued in the in-app connector instructions)
步骤 2 — 安装 adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
步骤 3 — 在 Gemini 中添加连接器
Gemini CLI 从 ~/.gemini/settings.json (Windows: %APPDATA%\gemini\settings.json) 读取 MCP 服务器。添加:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- 从 AnythingMCP 获取你的 MCP API key。
- 保存文件并重启
gemini。 - 在 Gemini CLI 中运行
/mcp—Kimai应显示为可用。 - Vertex AI Studio: 将
https://cloud.anythingmcp.com/mcp传入请求的tools数组,使用相同的 Bearer 头。
可用工具
| Tool | What it does |
|---|---|
kimai_get_version | Read the Kimai version and copyright of the connected instance |
kimai_list_timesheets | Read timesheet entries in a date range with their project, activity, duration, rate and billable flag |
kimai_get_active_timesheets | Read the entries that are running right now for the authenticated user — Kimai's live clock, answering 'am I still tracking something' |
kimai_list_customers | List customers with their number, country, currency and visible flag |
kimai_list_projects | List projects, optionally for one customer, with their budget, time budget and start and end dates |
kimai_list_activities | List activities — the task types time is booked against — either global or attached to one project |
kimai_list_users | List Kimai users with their username, alias, e-mail and roles |
kimai_create_timesheet | Book a timesheet entry against a project and activity |
kimai_stop_timesheet | Stop a running timesheet entry, setting its end to now |
FAQ
Gemini 1.5 Pro 或 2.x 支持 MCP 吗? 支持 — Gemini CLI ≥ 0.4 与 Vertex AI tools API 均接受带 Bearer 头的 MCP httpUrl 连接器。
下一步
这份指南对你有帮助吗?
