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.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Height klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Height + Gemini
Drive Height (modern AI-native project management) from any AI agent: tasks, lists, fields, users, activities. 9 tools, API-key Bearer auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
HEIGHT_API_KEY
Schritt 1 — Zugangsdaten holen
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)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Heightsollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| 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
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
War dieser Guide hilfreich?