No install? Use cloud.anythingmcp.com directly.
Sign in, install the Clockify 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 Clockify (time tracking, projects, clients, tags, reports) from any AI agent. 10 tools, X-Api-Key auth.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Clockify klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Clockify + Gemini
Manage Clockify (time tracking, projects, clients, tags, reports) from any AI agent. 10 tools, X-Api-Key auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
CLOCKIFY_API_KEY
Schritt 1 — Zugangsdaten holen
This connector wraps the Clockify REST API v1 (api.clockify.me/api/v1).
Setup:
- Sign in to https://clockify.me → bottom-left avatar → Preferences → Advanced → API → Generate API key.
- Set
CLOCKIFY_API_KEY.
Authentication: X-Api-Key: ${CLOCKIFY_API_KEY} on every request.
Workspace IDs: Clockify is workspace-scoped. Use clockify_get_user first — its response contains defaultWorkspace and activeWorkspace. List workspaces with clockify_list_workspaces.
…(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 —Clockifysollte 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 |
|---|---|
clockify_get_user | Return the authenticated user: id, email, name, activeWorkspace, defaultWorkspace, profile picture URL |
clockify_list_workspaces | List workspaces the user belongs to |
clockify_list_clients | List clients in a workspace |
clockify_list_projects | List projects in a workspace |
clockify_list_tags | List tags in a workspace |
clockify_list_time_entries | List a user's time entries in a workspace |
clockify_start_time_entry | Start a new time entry |
clockify_stop_current_entry | Stop the currently running time entry for a user |
clockify_update_time_entry | Update a time entry's description, project, task, tags, billable status, or time range |
clockify_delete_time_entry | Permanently delete a time entry |
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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