Skip the install. Get this working in under 2 minutes.
Start a free trial on cloud.anythingmcp.com, add the BigCommerce in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.
Summary
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.
Try asking
Example prompts for BigCommerce
Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → BigCommerce, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local 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.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
BIGCOMMERCE_STORE_HASH, BIGCOMMERCE_ACCESS_TOKEN
Step 1 — Get credentials
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: ${BIGCOMMERCE_ACCESS_TOKEN}. The base URL embeds the store hash.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —BigCommerceshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available 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
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.
Next steps
Was this guide helpful?
