Salta l'installazione. Attivo in meno di 2 minuti.
Avvia una prova gratuita su cloud.anythingmcp.com, aggiungi Sellsy 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
Sellsy — French CRM and invoicing: companies, contacts, opportunities, invoices, estimates, items and payments. REST API v2, OAuth 2.0 client credentials.
Prova a chiedere
Prompt di esempio per Sellsy
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 → Sellsy, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Sellsy + Gemini
Sellsy — French CRM and invoicing: companies, contacts, opportunities, invoices, estimates, items and payments. REST API v2, OAuth 2.0 client credentials.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
SELLSY_CLIENT_ID, SELLSY_CLIENT_SECRET
Step 1 — Ottieni le credenziali
Getting credentials
- Sign in to Sellsy, open Paramètres → API and create an application in the developer area.
- Choose the client credentials flow — it authorises the application against your own account with no browser consent step. You receive a client id and client secret.
- Set
SELLSY_CLIENT_IDandSELLSY_CLIENT_SECRET. AnythingMCP mints and refreshes the access token on its own.
This is API v2, at https://api.sellsy.com/v2. Sellsy's v1 was an entirely different, single-endpoint RPC API — if you find an example that POSTs everything to one URL with a request parameter, that is v1 and it does not apply here.
…(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 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 —Sellsydovrebbe 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 |
|---|---|
sellsy_list_companies | List client companies with their name, SIRET, VAT number, address and owner |
sellsy_search_companies | Search companies with Sellsy's filter object — far more expressive than the plain list |
sellsy_get_company | Read one client company in full: addresses, contacts, tax identifiers, rating and the notes recorded against it |
sellsy_list_contacts | List individual contacts with their name, e-mail, phone, position and the company they belong to |
sellsy_list_invoices | List invoices with their number, date, due date, client, net and gross totals and payment status — the receivables view |
sellsy_search_invoices | Search invoices with Sellsy's filter object — by status, date range, client or amount |
sellsy_get_invoice | Read one invoice in full: every row with its quantity, unit price, discount and VAT, the totals and the payments applied against it |
sellsy_list_estimates | List estimates (devis) with their number, date, client, total and acceptance status — what is out with prospects and not yet won |
sellsy_list_opportunities | List CRM opportunities with their name, client, amount, funnel step and expected close date — the pipeline view |
sellsy_list_items | List catalogue items with their reference, name, unit price, VAT rate and stock tracking flag |
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
Questa guida ti è stata utile?
