【MCP Server】BigCommerce × Claude Desktop 連携ガイド | AI でデータを徹底活用
Model Context Protocol (MCP) is an emerging, open-source standard for connecting LLMs with external services and data sources. Through MCP Servers, AI clients can perform actions like opening Jira tickets, posting Slack messages, committing GitHub branches and more. With CData MCP Servers, these capabilities expand exponentially.
In this article, we guide the reader through installing the CData MCP Server for BigCommerce, configuring the connection to BigCommerce, and asking questions of the data in Claude Desktop.
Prerequisites
You need to download Claude Desktop (download) and create an account before continuing.
Overview
Here's a quick overview of the steps:
- Download and install the CData MCP Server for BigCommerce
- Configure the connection to BigCommerce
- Ask questions about the data in Claude Desktop
Step 1: Download and install the CData MCP Server
- To begin, navigate to https://www.cdata.com/solutions/mcp/connectors and download the CData MCP Server for BigCommerce.
- Find and double-click the installer to begin the installation.
- Follow the prompts to complete the installation.
When the installation is complete, you are ready to configure your MCP Server by connecting to BigCommerce.
Step 2: Configure the connection to BigCommerce
- After installation, the CData MCP Server configuration wizard should open automatically.
NOTE: If the wizard does not open automatically, search for "CData MCP Server" in the Windows search bar and double-click the application.

- Click the dropdown menu in MCP Configuration > Configuration Name and select "
"
- Name the configuration (e.g. "cdatabigcommerce") and click "OK."
NOTE: This name is used as the name for the MCP server and as the prefix for all of the MCP Server's tools.
Connecting to BigCommerce
BigCommerce 認証は標準のOAuth フローに基づいています。
Store ID の取得
BigCommerce Store に接続するには、StoreId が必要です。Store Id を確認するには、以下の手順に従ってください。
- BigCommerce アカウントにログインします。
- ホームページから「Advanced Settings」->「API Accounts」 を選択します。
- 「Create API Account」->「Create V2/V3 API Token」をクリックします。
- 画面にAPI Path という名前のテキストボックスが表示されます。
- テキストボックス内に、次の構造のURL が表示されます:https://api.bigcommerce.com/stores/{Store Id}/v3。
- 上記で示したように、Store Id は'stores/' と'/v3' パスパラメータの間にあります。
- Store Id を取得したら、「キャンセル」 をクリックするか、まだ持っていない場合はAPI Account の作成に進むことができます。
パーソナルアクセストークンの取得
加えて、自分のデータをテストおよびアクセスするには、個人用トークンを取得する必要があります。個人用トークンを取得する方法は次のとおりです。
- BigCommerce アカウントにログインします。
- ホームページから「Advanced Settings」->「API Accounts」 を選択します。
- 「Create API Account」->「Create V2/V3 API Token」をクリックします。
- アカウント名を入力します。
- 作成するAPI Account の「OAuth Scopes」を選択します。CData 製品 は"None" とマークされたデータにアクセスできません。また、"read-only" とマークされたデータを変更できません。
- 「保存」をクリックします。
BigCommerce への認証
次に、以下を設定してデータに接続できます。- StoreId:API Path テキストボックスから取得したStore ID に設定。
- OAuthAccessToken:生成したトークンに設定。
- InitiateOAuth:OFF に設定。
Enter the appropriate connection properties in the configuration wizard.
- Click "Connect" to authenticate with BigCommerce through OAuth.
NOTE: The configuration wizard should open your browser and ask you to sign into BigCommerce. If your browser does not open, close the configuration wizard and re-open the application using "Run as Administrator" (see below).
- Finally, click "Save Configuration" to save the MCP server.
NOTE: This saves the configuration details to a separate file and updates the Claude Desktop configuration file (claude_desktop_config.json) to start the CData MCP Server when the Claude Desktop client starts.
With the CData MCP Server configured, you are ready to start asking questions of your live data from Claude.
Step 3: Ask AI for answers from live BigCommerce のデータ
Now that we have installed the CData MCP Server and configured a connection, we are ready to start with BigCommerce のデータ in Claude Desktop.
- Open Claude Desktop. It may take a moment for the MCP Servers to start, but you will see the list of servers and tools available in the Claude interface (look for the settings icon below the prompt bar).
You can individually enable and disable specific tools by clicking on the server name.
- Now that you have connected, you can ask Claude questions about the BigCommerce のデータ. For example: "Can you give me a quantitative analysis about my closed-won opportunities by industry?"
NOTE: Claude may need to explore the BigCommerce のデータ to make sense of it before it can begin answering questions of the data. The tabular model presented by CData alongside the database tools available simplify the data exploration and analysis for an LLM.
Connect your AI to your data today!
CData MCP Servers make it easier than ever for LLMs to work with live enterprise data. To explore the technology hands-on, download a free, 30-day trial or visit the CData Community to share insights, ask questions, and help shape the future of enterprise-ready AI.