No install? Use cloud.anythingmcp.com directly.
Sign in, install the Toggl Track in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Manage Toggl Track (time entries, projects, clients, tags, workspaces) from any AI agent. 9 tools, basic-auth with API token.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Toggl Track klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Toggl Track + Gemini
Manage Toggl Track (time entries, projects, clients, tags, workspaces) from any AI agent. 9 tools, basic-auth with API token.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
TOGGL_API_TOKEN
Schritt 1 — Zugangsdaten holen
This connector wraps the Toggl Track API v9 (api.track.toggl.com/api/v9).
Setup:
- Log into https://track.toggl.com → bottom-left avatar → Profile settings → scroll to API Token → reveal/copy.
- Set
TOGGL_API_TOKEN.
Authentication: HTTP Basic, with API token as the username and the literal string api_token as the password:
Authorization: Basic base64(TOKEN:api_token)
The adapter sets this automatically via BASIC_AUTH (username=token, password=api_token). DO NOT pass real user/password — Toggl only accepts the token-pair.
…(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 —Toggl Tracksollte 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 |
|---|---|
toggl_track_me | Get the authenticated user including default workspace ID, all workspaces, default project/tag |
toggl_track_list_workspaces | List workspaces the user belongs to |
toggl_track_list_clients | List clients in a workspace |
toggl_track_list_projects | List projects in a workspace |
toggl_track_get_current_entry | Return the currently running time entry (if any), else null |
toggl_track_list_time_entries | List time entries for the current user |
toggl_track_create_time_entry | Create a new time entry |
toggl_track_stop_time_entry | Stop a running time entry |
toggl_track_delete_time_entry | Delete a time entry permanently |
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
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