Sáltate la instalación. Funcionando en menos de 2 minutos.
Inicia una prueba gratuita en cloud.anythingmcp.com, añade Sellsy con un clic y apunta tu cliente de IA (Claude, ChatGPT, Copilot o Cursor) al endpoint MCP generado. Sin Docker, sin git clone, sin experiencia de desarrollo.
Summary
Sellsy — French CRM and invoicing: companies, contacts, opportunities, invoices, estimates, items and payments. REST API v2, OAuth 2.0 client credentials.
Prueba a pedir
Prompts de ejemplo para Sellsy
Haz clic en un prompt para copiarlo. Pégalo en Claude, ChatGPT, Cursor, Gemini, Copilot u OpenClaw para ejecutarlo contra este conector.
Claude es IA y puede equivocarse. Verifica siempre las respuestas.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → Sellsy, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
Sellsy + Gemini
Sellsy — French CRM and invoicing: companies, contacts, opportunities, invoices, estimates, items and payments. REST API v2, OAuth 2.0 client credentials.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
SELLSY_CLIENT_ID, SELLSY_CLIENT_SECRET
Paso 1 — Obtener credenciales
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)
Paso 2 — Instalar el 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
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —Sellsydebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| 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 soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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