Installation überspringen. In unter 2 Minuten einsatzbereit.
Starte eine kostenlose Testphase auf cloud.anythingmcp.com, füge Sellsy mit einem Klick hinzu und richte deinen KI-Client (Claude, ChatGPT, Copilot oder Cursor) auf den erzeugten MCP-Endpoint. Kein Docker, kein git clone, keinerlei Entwicklungserfahrung nötig.
Summary
Sellsy — French CRM and invoicing: companies, contacts, opportunities, invoices, estimates, items and payments. REST API v2, OAuth 2.0 client credentials.
Frag einfach
Beispiel-Prompts für Sellsy
Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Connector laufen lassen.
Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Sellsy klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Sellsy + Gemini
Sellsy — French CRM and invoicing: companies, contacts, opportunities, invoices, estimates, items and payments. REST API v2, OAuth 2.0 client credentials.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
SELLSY_CLIENT_ID, SELLSY_CLIENT_SECRET
Schritt 1 — Zugangsdaten holen
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)
Schritt 2 — Adapter installieren
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
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 —Sellsysollte 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 |
|---|---|
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
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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