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.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Toggl Track, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Toggl Track + Gemini
Manage Toggl Track (time entries, projects, clients, tags, workspaces) from any AI agent. 9 tools, basic-auth with API token.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
TOGGL_API_TOKEN
Step 1 — Ottieni le credenziali
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)
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Toggl Trackdovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| 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
Gemini 1.5 Pro o 2.x supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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