How to Connect to Live Adobe Commerce Data from Sourcegraph Amp (via CData Connect AI)
Sourcegraph Amp is a modern AI agent environment designed for building intelligent, production-ready assistants capable of stateful reasoning, automatic context management, and native MCP (Model Context Protocol) integration. When combined with CData Connect AI, you can leverage Amp to create agents that interact with your Adobe Commerce data in real time using natural language or SQL-based queries.
CData Connect AI provides a secure, cloud-to-cloud interface for accessing Adobe Commerce data. Through the Connect AI Remote MCP Server, Amp connects directly to Adobe Commerce, enabling live data queries and operations without replication. With optimized pushdown capabilities, CData Connect AI executes SQL operations including filters, aggregations, and joins directly in Adobe Commerce for fast, real-time performance.
In this article, we demonstrate how to configure the Amp agent to conversationally explore your Adobe Commerce data using natural language or SQL. With Connect AI, you can easily build agents that have secure, live access to Adobe Commerce along with hundreds of other enterprise data sources.
Prerequisites
- An active CData Connect AI
- The Sourcegraph Amp VS Code extension or Amp CLI installed
- Node.js v20 or higher installed
- Access to Adobe Commerce
Step 1: Configure Adobe Commerce Connectivity for Sourcegraph Amp
Connectivity to Adobe Commerce from Amp is made possible through CData Connect AI Remote MCP. To interact with Adobe Commerce data from Amp, we start by creating and configuring a Adobe Commerce connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Adobe Commerce" from the Add Connection panel
-
Enter the necessary authentication properties to connect to Adobe Commerce.
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".
- Click Save & Test
Step 2: Set Up Amp for CData Connect AI
Copy the MCP Endpoint
Amp communicates with Connect AI through the hosted MCP endpoint:
https://mcp.cloud.cdata.com/mcp
This endpoint provides secure, cloud-to-cloud communication between Amp and your Connect AI workspace.
Generate Base64 Credentials
To authenticate Amp with Connect AI, generate your Base64-encoded credentials. For example, in PowerShell:
{Convert}::ToBase64String{(Text.Encoding)}::ASCII.GetBytes("[email protected]:yourPAT")
Replace [email protected] with your Connect AI email and yourPAT with your Personal Access Token.
Register the MCP Server in Amp
Once you have your Base64 string, register the CData Connect AI MCP server with Amp using the following command:
amp mcp add cdata-connect-ai -- npx -y mcp-remote@latest https://mcp.cloud.cdata.com/mcp --header "Authorization: Basic "
This adds your Connect AI configuration to Amp's settings file, enabling communication with CData Connect AI.
Verify Your Connection and Explore Data
- Create a New Thread
- Enter the Interactive Chat
- Verify MCP Servers
- Confirm Your Data Source
Start a new Amp session to begin interacting with your data:
amp thread new
Connect to the new thread using:
amp.
Inside the Amp shell, check your registered MCP servers:
list mcp.
Confirm that your connected Adobe Commerce data appears as a catalog by running
getCatalogs.
Step 3: Build Intelligent Agents with Live Adobe Commerce Data Access
With your Amp application configured and connected to CData Connect AI, you can now build sophisticated agents that interact with your Adobe Commerce data using natural language. The MCP integration provides your agents with powerful data access capabilities.
Available MCP Tools for your Agent
Your Amp application has access to the following CData Connect AI MCP tools:
- getCatalogs: Lists all data source catalogs (e.g., Adobe Commerce1)
- getSchemas: Returns database schemas within the connected catalog
- getTables: Lists all tables and views available under a given schema
- getColumns: Returns column definitions for a specific table or view
- queryData: Executes SQL queries (SELECT, INSERT, UPDATE, DELETE)
- getProcedures: Lists stored procedures or API endpoints
- getProcedureParameters: Returns metadata for stored procedure parameters
- executeProcedure: Invokes stored procedures (e.g., Adobe Commerce actions)
Key Features of Amp
Amp provides several production-ready capabilities that make it ideal for building intelligent, data-aware AI agents:
- Automatic Context Management: Amp maintains and recalls conversational context automatically, enabling seamless multi-turn interactions without manual state tracking.
- Stateful Conversations: Preserve context and memory across multiple queries to create natural, human-like conversations.
- Native MCP Integration: Amp natively supports the Model Context Protocol (MCP), allowing secure, real-time access to live data from CData Connect AI and other MCP-compatible servers.
- Tool-Oriented Architecture: Tools are treated as first-class components with managed invocation, input validation, and error handling.
- Efficient Context Handling: Amp optimizes prompts dynamically, ensuring relevant information is preserved even when approaching model token limits.
- Cross-Source Querying: Combine and query multiple connected data sources within a single conversational workflow.
- Fine-Grained Permission Controls: Define and enforce tool access levels to maintain data governance and secure integrations.
- Developer-Friendly CLI and SDK: Manage MCP connections, configure agents, and test workflows easily from the Amp CLI or VS Code extension.
Example Use Cases
Here are some examples of what your Amp agents can do with live data access through CData Connect AI:
- Data Analysis Agent: Identify trends and anomalies in Adobe Commerce data.
- Report Generation Agent: Generate reports from natural language prompts.
- Interactive Chatbot: Explain insights conversationally using live data.
- Data Quality Agent: Monitor and flag real-time data inconsistencies.
- Automated Workflow Agent: Trigger alerts based on defined data conditions.
Testing Your Agent
Once your agent is running, you can interact with it through natural language queries. For example:
- "Show me all new leads from the past 30 days."
- "What are the top-performing campaigns this quarter?"
- "Analyze revenue growth and highlight anomalies."
- "Generate a summary report of current opportunities."
- "Find all records where status is pending approval."
Get CData Connect AI
To get live data access to 300+ SaaS, Big Data, and NoSQL sources directly from your Amp agent environment, try CData Connect AI today!