Integrate OpenCode with Live IBM Cloud Object Storage Data via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Use the CData Connect AI Remote MCP Server to enable OpenCode to securely access and query live IBM Cloud Object Storage data from within your AI coding agent.

OpenCode is an open source AI coding agent that connects to a wide range of LLM providers. It supports the model context protocol (MCP), allowing you to configure local or remote MCP servers in its configuration files to add external tools and data sources and give the agent access to live data.

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

This article explains how to configure IBM Cloud Object Storage connectivity in Connect AI, generate the required personal access token, install OpenCode, add the Connect AI MCP Server in the project configuration file, configure an LLM provider, and verify the integration by querying live IBM Cloud Object Storage data from OpenCode.

Step 1: Configure IBM Cloud Object Storage connectivity for OpenCode

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a connection in Connect AI
  3. Select IBM Cloud Object Storage from the Add Connection panel
  4. Selecting data source
  5. Enter the necessary authentication properties to connect to IBM Cloud Object Storage.

    Register a New Instance of Cloud Object Storage

    If you do not already have Cloud Object Storage in your IBM Cloud account, follow the procedure below to install an instance of SQL Query in your account:

    1. Log in to your IBM Cloud account.
    2. Navigate to the page, choose a name for your instance and click Create. You will be redirected to the instance of Cloud Object Storage you just created.

    Connecting using OAuth Authentication

    There are certain connection properties you need to set before you can connect. You can obtain these as follows:

    API Key

    To connect with IBM Cloud Object Storage, you need an API Key. You can obtain this as follows:

    1. Log in to your IBM Cloud account.
    2. Navigate to the Platform API Keys page.
    3. On the middle-right corner click "Create an IBM Cloud API Key" to create a new API Key.
    4. In the pop-up window, specify the API Key name and click "Create". Note the API Key as you can never access it again from the dashboard.

    Cloud Object Storage CRN

    If you have multiple accounts, specify the CloudObjectStorageCRN explicitly. To find the appropriate value, you can:

    • Query the Services view. This will list your IBM Cloud Object Storage instances along with the CRN for each.
    • Locate the CRN directly in IBM Cloud. To do so, navigate to your IBM Cloud Dashboard. In the Resource List, Under Storage, select your Cloud Object Storage resource to get its CRN.

    Connecting to Data

    You can now set the following to connect to data:

    • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to avoid repeating the OAuth exchange and manually setting the OAuthAccessToken.
    • ApiKey: Set this to your API key which was noted during setup.
    • CloudObjectStorageCRN (Optional): Set this to the cloud object storage CRN you want to work with. While the connector attempts to retrieve this automatically, specifying this explicitly is recommended if you have more than Cloud Object Storage account.

    When you connect, the connector completes the OAuth process.

    1. Extracts the access token and authenticates requests.
    2. Saves OAuth values in OAuthSettingsLocation to be persisted across connections.
    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from OpenCode. 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. Creating a new PAT
  5. Copy the token when displayed and store it securely. It will not be shown again

With the IBM Cloud Object Storage connection configured and a PAT generated, OpenCode can now connect to IBM Cloud Object Storage data through Connect AI.

Step 2: Install OpenCode and configure the Connect AI MCP Server

Next, install OpenCode, add the Connect AI Remote MCP Server in your project configuration file, and configure an LLM provider so the agent can discover and call live data tools through Connect AI.

  1. Download and install OpenCode by following the official installation guide
  2. Create a new folder for your project, or open an existing project directory
  3. In the root of that directory, create a file named opencode.json and paste the following configuration:
    {
      "$schema": "https://opencode.ai/config.json",
      "mcp": {
        "cdata-connect-ai": {
          "type": "remote",
          "url": "https://mcp.cloud.cdata.com/mcp",
          "enabled": true,
          "oauth": false,
          "headers": {
            "Authorization": "Basic your_base64_encoded_email_PAT"
          },
          "timeout": 30000
        }
      }
    }
    		

    Note: OpenCode 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==

  4. Open the project directory in OpenCode. Select the project from the project dropdown, or click Add project to point OpenCode at the folder that contains opencode.json Opening the project directory in OpenCode
  5. Configure an LLM provider so the agent can interpret prompts and call MCP tools. Open the model selector (Ctrl + '), choose a provider such as OpenAI, Anthropic, or Google, and enter your API key Selecting an LLM provider and model in OpenCode

With the MCP server added in opencode.json and an LLM provider configured, OpenCode is ready to query live IBM Cloud Object Storage data through Connect AI.

Step 3: Query live IBM Cloud Object Storage data from OpenCode

With the integration complete, use OpenCode to interact with live IBM Cloud Object Storage data through natural language prompts handled by the configured LLM.

  1. In a new session, type a prompt in the chat input, for example:
    • Use the cdata-connect-ai tools to list all available catalogs
    • Show the available schemas and tables for IBM Cloud Object Storage
    • Query the top 5 records from a table in IBM Cloud Object Storage
  2. OpenCode calls the Connect AI MCP Server and returns live results from IBM Cloud Object Storage data Querying live data from OpenCode

At this point, OpenCode communicates with the Connect AI MCP Server and retrieves live IBM Cloud Object Storage data through remote MCP tools directly from your AI coding agent.

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