No install? Use cloud.anythingmcp.com directly.
Sign in, install the Height in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Drive Height (modern AI-native project management) from any AI agent: tasks, lists, fields, users, activities. 9 tools, API-key Bearer auth.
💡 无需安装? 直接使用 cloud.anythingmcp.com。 登录、点击 Connectors → Height、粘贴凭证、生成 MCP API key — 完成。无 Docker、无
git clone、无本地服务器。
Height + Gemini
Drive Height (modern AI-native project management) from any AI agent: tasks, lists, fields, users, activities. 9 tools, API-key Bearer auth.
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:
HEIGHT_API_KEY
步骤 1 — 获取凭证
app/api/docs).
Setup:
- Sign in to Height → top-right avatar → Settings → API & webhooks → Generate API key.
- Set
HEIGHT_API_KEY.
Authentication: Authorization: api-key ${HEIGHT_API_KEY} (literal api-key prefix, NOT Bearer).
Tasks are the primary object. Each task has status, name, description, assignees, dueDate, listIds[], fields (custom), parentTaskId (for subtasks).
Lists: how tasks are organized (similar to ClickUp lists or Linear projects). A task can belong to multiple lists.
Custom fields: defined at the workspace level. Reference via fields object {fieldId: value}.
Pagination: cursor-based via ?cursor=....
…(continued in the in-app connector instructions)
步骤 2 — 安装 adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && 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—Height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 |
|---|---|
height_get_workspace | Return workspace info: id, model, url, name |
height_list_lists | List all lists in the workspace |
height_list_tasks | List tasks with a filter query |
height_search_tasks | Full-text search tasks |
height_get_task | Fetch a single task by ID OR index (e |
height_create_task | Create a task |
height_update_task | Update a task (PATCH) |
height_list_users | List workspace users (members) |
height_list_fields | List custom fields defined in the workspace |
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
这份指南对您有帮助吗?