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Windsurf is an AI-native IDE built around Cascade, an autonomous coding agent that understands project context and executes multi-step tasks directly inside the editor. Cascade supports the Model Context Protocol (MCP), allowing the agent to discover and call external tools and data sources without leaving the development environment.
By integrating Windsurf with CData Connect AI through the built-in MCP server, the Cascade agent gains governed, real-time access to live Adobe Commerce data. This enables developers to list catalogs, inspect schemas, and query records from Adobe Commerce data within the IDE using natural language prompts.
This article explains how to configure Adobe Commerce connectivity in Connect AI, generate the required personal access token, configure the Connect AI MCP Server in Windsurf, and verify the integration by querying live Adobe Commerce data from the Cascade chat.
Connectivity to Adobe Commerce from Windsurf is made possible through Connect AI's Remote MCP Server. To interact with Adobe Commerce data from Windsurf, start by creating and configuring a Adobe Commerce connection in Connect AI.
Adobe Commerce uses the OAuth 1 authentication standard. To connect to the Adobe Commerce REST API, obtain values for the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties by registering an app with your Adobe Commerce system. See the "Getting Started" section in the help documentation for a guide to obtaining the OAuth values and connecting.
You will also need to provide the URL to your Adobe Commerce system. The URL depends on whether you are using the Adobe Commerce REST API as a customer or administrator.
Customer: To use Adobe Commerce as a customer, make sure you have created a customer account in the Adobe Commerce homepage. To do so, click Account -> Register. You can then set the URL connection property to the endpoint of your Adobe Commerce system.
Administrator: To access Adobe Commerce as an administrator, set CustomAdminPath instead. This value can be obtained in the Advanced settings in the Admin menu, which can be accessed by selecting System -> Configuration -> Advanced -> Admin -> Admin Base URL.
If the Use Custom Admin Path setting on this page is set to YES, the value is inside the Custom Admin Path text box; otherwise, set the CustomAdminPath connection property to the default value, which is "admin".
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Windsurf. It is best practice to create a separate PAT for each integration to maintain granular access control.
With the Adobe Commerce connection configured and a PAT generated, Windsurf can now connect to Adobe Commerce data.
Next, configure the Connect AI Remote MCP Server in Windsurf so that the Cascade agent can discover and call live data tools through Connect AI.
{
"mcpServers": {
"cdata-mcp": {
"serverUrl": "https://mcp.cloud.cdata.com/mcp",
"headers": {
"Authorization": "Basic your_base64_encoded_email_PAT",
"Content-Type": "application/json"
}
}
}
}
Note: Windsurf will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ789, the Authorization header value becomes something like: Basic dXNlckBkb21haW4uY29tOkFCQzEyMy4uLlhZWjc4OQ==
π Pasting Connect AI MCP Server configurationWith the MCP server registered and enabled, Windsurf is ready to query live Adobe Commerce data through Connect AI.
With the integration complete, use the Cascade chat panel in Windsurf to interact with live Adobe Commerce data through natural language prompts.
At this point, your Windsurf IDE communicates with the Connect AI MCP Server and retrieves live Adobe Commerce data through remote MCP directly from the editor.
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