No install? Use cloud.anythingmcp.com directly.
Sign in, install the BigCommerce in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.
TL;DR
Drive BigCommerce (SaaS e-commerce platform) from any AI agent: products, variants, orders, customers, categories. 14 tools, API-key (X-Auth-Token) auth, per-store base URL.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → BigCommerce, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
BigCommerce + Gemini
Drive BigCommerce (SaaS e-commerce platform) from any AI agent: products, variants, orders, customers, categories. 14 tools, API-key (X-Auth-Token) auth, per-store base URL.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
BIGCOMMERCE_STORE_HASH, BIGCOMMERCE_ACCESS_TOKEN
Paso 1 — Obtener credenciales
bigcommerce.com/docs/rest-catalog).
Setup:
- Sign in to BigCommerce → Settings → API → API Accounts → Create API Account → V2/V3 API token.
- Pick scopes — at minimum: Products (Read+Write), Orders (Read+Write), Customers (Read+Write), Information & Settings (Read).
- Copy the Access Token and note the API path — looks like
https://api.bigcommerce.com/stores/{STORE_HASH}/v3/. - Set:
BIGCOMMERCE_STORE_HASH= the alphanumeric store hash from the URL (e.g.abcd1234)BIGCOMMERCE_ACCESS_TOKEN= the access token
Authentication: header X-Auth-Token: ${BIGCOMMERCE_ACCESS_TOKEN}. The base URL embeds the store hash.
…(continued in the in-app connector instructions)
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && 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 —BigCommercedebería 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 |
|---|---|
bigcommerce_list_products | List products with filters |
bigcommerce_get_product | Fetch a single product |
bigcommerce_create_product | Create a product |
bigcommerce_update_product | Update a product |
bigcommerce_delete_product | Permanently delete a product |
bigcommerce_list_product_variants | List variants (SKUs) for a product |
bigcommerce_update_variant_inventory | Update a variant's inventory_level (stock quantity) |
bigcommerce_list_categories | List categories with parent/tree structure |
bigcommerce_list_orders | List orders (uses v2 endpoint — V3 doesn't fully cover orders yet) |
bigcommerce_get_order | Fetch one order (v2) |
bigcommerce_get_order_products | List line items on an order |
bigcommerce_update_order_status | Update an order's status (use status code from instructions) |
bigcommerce_list_customers | List customers (V3) |
bigcommerce_create_customer | Create a customer |
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
¿Te ha sido útil esta guía?