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.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → BigCommerce klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
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.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
BIGCOMMERCE_STORE_HASH, BIGCOMMERCE_ACCESS_TOKEN
Schritt 1 — Zugangsdaten holen
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)
Schritt 2 — Adapter installieren
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && 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 —BigCommercesollte 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 |
|---|---|
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
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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