Integrate Goose with Live DB2 Data via CData Connect AI

Goose is an open source AI agent that runs locally on your machine and works with a wide range of LLM providers. It supports the model context protocol (MCP) through its extensions framework, so you can add external tools and data sources and give the agent access to live systems beyond the model's training data.

By integrating Goose with CData Connect AI through the built-in MCP Server, Goose gains governed, real-time access to live DB2 data. You can list catalogs, explore schemas, and query records from DB2 data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure DB2 connectivity in Connect AI, generate the required personal access token, install and set up Goose, add the Connect AI MCP Server as a custom extension, and verify the integration by querying live DB2 data from the Goose chat.

Step 1: Configure DB2 connectivity for Goose

Connectivity to DB2 from Goose is made possible through Connect AI's Remote MCP Server. To interact with DB2 data from Goose, start by creating and configuring a DB2 connection in Connect AI.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select DB2 from the Add Connection panel

3. Enter the necessary authentication properties to connect to DB2.

   Set the following properties to connect to DB2:

   • Server: Set this to the name of the server running DB2.
   • Port: Set this to the port the DB2 server is listening on.
   • Database: Set this to the name of the DB2 database.
   • User: Set this to the username of a user allowed to access the database.
   • Password: Set this to the password of a user allowed to access the database.

   You will also need to install the corresponding DB2 driver:

   • Windows: Install the IBM Data Server Provider for .NET.

     On Windows, installing the IBM Data Server Provider is sufficient, as the installation registers it in the machine.config.

   • Java: Install the IBM Data Server Driver for JDBC.

     In the Java version, place the IBM Data Server Driver JAR in the www\WEB-INF\lib\ folder for this application.

   
4. Click Save & Test
5. Navigate to the Permissions tab and update user-based permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Goose. It is best practice to create a separate PAT for each integration to maintain granular access control.

1. Click the gear icon () at the top right of the Connect AI app to open Settings
2. On the Settings page, go to the Access Tokens section and click Create PAT
3. Give the PAT a descriptive name and click Create

4. Copy the token when displayed and store it securely. It will not be shown again

With the DB2 connection configured and a PAT generated, Goose can now connect to DB2 data through Connect AI.

Step 2: Install and set up Goose

Next, install Goose, choose an LLM provider, and add the Connect AI Remote MCP Server as a custom extension so the agent can discover and call live data tools through Connect AI.

1. Download and install Goose by following the official installation guide, then launch the application
2. On the Welcome to goose screen, choose an AI provider. Select Use Free/Local Providers to run a local model, or Connect to a Provider to configure a provider such as OpenAI, Anthropic, or Google, and enter the required API key
3. In the left navigation, click Extensions, then click + Add custom extension
4. In the extension dialog, configure the server with the following values:
   • Extension Name: CData MCP, or any name of your choice
   • Type: Streamable HTTP
   • Endpoint: https://mcp.cloud.cdata.com/mcp
5. Under Request Headers, add the following two headers and click + Add after each pair:
   • Authorization: Basic your_base64_encoded_email_PAT
   • Content-Type: application/json

   Note: Goose 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==

   
6. Click Save to save the configuration
7. Return to the chat, click the extensions icon at the bottom of the chat input, and confirm that the configured MCP is enabled

With the MCP server added and an LLM provider configured, Goose is ready to query live DB2 data through Connect AI.

Step 3: Query live DB2 data from Goose

With the integration complete, use the Goose chat to interact with live DB2 data through natural language prompts handled by the configured LLM.

1. With the CData MCP extension enabled, type a prompt in the chat, for example:
   • List catalogs from my CData MCP
   • Show the available schemas and tables for DB2
   • Query the top 5 records from a table in DB2 data
2. Goose calls the Connect AI MCP Server and returns live results from DB2 data

At this point, your Goose agent communicates with the Connect AI MCP Server and retrieves live DB2 data through remote MCP tools directly from the chat.

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