Salta l'installazione. Attivo in meno di 2 minuti.
Avvia una prova gratuita su cloud.anythingmcp.com, aggiungi Kimai con un clic, poi punta il tuo client AI (Claude, ChatGPT, Copilot o Cursor) all'endpoint MCP generato. Niente Docker, niente git clone, nessuna esperienza di sviluppo richiesta.
Summary
Kimai — the self-hosted open-source time tracker. Read and create timesheets, browse customers, projects, activities and users, and check the running clock. REST API v1 on your own Kimai instance, bearer API token.
Prova a chiedere
Prompt di esempio per Kimai
Clicca su un prompt per copiarlo. Incollalo in Claude, ChatGPT, Cursor, Gemini, Copilot o OpenClaw per eseguirlo contro questo connettore.
Claude è un'AI e può sbagliare. Verifica sempre le risposte.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Kimai, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Kimai + ChatGPT
Kimai — the self-hosted open-source time tracker. Read and create timesheets, browse customers, projects, activities and users, and check the running clock. REST API v1 on your own Kimai instance, bearer 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:
KIMAI_URL, KIMAI_API_TOKEN
Step 1 — Ottieni le credenziali
Getting a token (Kimai 2.x)
- Sign in to your Kimai instance, open your user profile and go to the API tab.
- Create an API token and copy it into
KIMAI_API_TOKEN. Kimai 2.x uses a bearer token here; the olderX-AUTH-USER/X-AUTH-TOKENheader pair from Kimai 1.x is deprecated and is not what this adapter sends. - Set
KIMAI_URLto the base URL of your instance without a trailing slash and without/api, e.g.https://time.example.com. The adapter appends/api.
…(continued in the in-app connector instructions)
Step 2 — Installa l'adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Aggiungi il connettore in ChatGPT
ChatGPT supporta server MCP tramite la funzione Connectors (piani Plus / Pro / Team / Enterprise). Il piano gratuito non supporta connettori personalizzati.
- Apri ChatGPT → Impostazioni → Connectors (o clicca l'icona 🔧 nel composer → Manage connectors).
- Clicca "Add custom connector".
- Compila:
- Name:
Kimai - MCP server URL:
https://cloud.anythingmcp.com/mcp - Authentication: Bearer token → incolla la tua MCP API key (da AnythingMCP → Profile → MCP API Keys → New Key)
- Name:
- Clicca Connect per autorizzare.
Tool disponibili
| Tool | What it does |
|---|---|
kimai_get_version | Read the Kimai version and copyright of the connected instance |
kimai_list_timesheets | Read timesheet entries in a date range with their project, activity, duration, rate and billable flag |
kimai_get_active_timesheets | Read the entries that are running right now for the authenticated user — Kimai's live clock, answering 'am I still tracking something' |
kimai_list_customers | List customers with their number, country, currency and visible flag |
kimai_list_projects | List projects, optionally for one customer, with their budget, time budget and start and end dates |
kimai_list_activities | List activities — the task types time is booked against — either global or attached to one project |
kimai_list_users | List Kimai users with their username, alias, e-mail and roles |
kimai_create_timesheet | Book a timesheet entry against a project and activity |
kimai_stop_timesheet | Stop a running timesheet entry, setting its end to now |
FAQ
Il piano free di ChatGPT funziona con i Connectors MCP custom? No — servono Plus, Pro, Team o Enterprise.
Prossimi passi
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