Query Live IBM Cloud Object Storage Data in Zed Editor via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Zed Editor to securely access and query live IBM Cloud Object Storage data directly from the development environment.

Zed is a high-performance, open-source code editor built for speed and collaboration. Its built-in AI agent panel supports LLM-powered interactions and MCP (Model Context Protocol) tool integrations, enabling developers to access live external data sources directly within the editor.

By integrating Zed with CData Connect AI through the built-in MCP (Model Context Protocol) Server, the Zed AI agent gains governed, real-time access to live IBM Cloud Object Storage data. This enables developers to query schemas, retrieve records, and explore IBM Cloud Object Storage data without leaving the editor or writing custom integration code.

This article explains how to configure IBM Cloud Object Storage connectivity in Connect AI, register the CData MCP Server in Zed, and query live IBM Cloud Object Storage data from the Zed agent panel.

Step 1: Configure IBM Cloud Object Storage connectivity for Zed

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

Step 2: Configure Connect AI in Zed

Now, let's register the CData Connect AI MCP endpoint in Zed so that the built-in AI agent can discover and call live data tools.

  1. Download and install Zed
  2. Open the agent panel by pressing Ctrl + Shift + /, or by clicking the sparkle icon at the bottom right of the editor
  3. In the agent panel, click the ... (toggle agent menu) and select Add Custom Server from the dropdown Opening the agent menu to add a custom MCP server
  4. Select the Configure Remote option to configure CData's MCP
  5. An Add MCP Server dialog opens displaying a remote server configuration template. Replace the placeholder content with the following JSON:
    {
        "cdata": {
            "url": "https://mcp.cloud.cdata.com/mcp",
            "headers": {
                "Authorization": "Basic your_base64_encoded_email_PAT"
            }
        }
    }
            

    Note: Combine your Connect AI email and PAT in the format email:PAT, Base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ, the header value becomes something like: Basic dXNlckBteWRvbWFpbjphSzkvbVB4Mi9Rcjd2TjQ...

    Pasting the CData Connect AI MCP Server configuration
  6. Click Add Server or press Ctrl + Enter to register the MCP server

Configure an LLM provider

Zed requires at least one LLM provider to power the agent's reasoning. Configure a provider so the agent can interpret queries and call MCP tools through Connect AI.

  1. Click the ... (toggle agent menu) and select Settings
  2. Under LLM Providers, expand your preferred provider (e.g., Anthropic, OpenAI, Google AI) and enter your API key
  3. Under Model Context Protocol (MCP) Servers, confirm that cdata appears with a green dot and the toggle is enabled Verifying the CData MCP Server is enabled in Zed Settings

With the MCP server registered and an LLM provider configured, the Zed agent is ready to query live IBM Cloud Object Storage data through Connect AI.

Step 3: Query live IBM Cloud Object Storage data from the Zed agent

With the integration complete, use the Zed agent panel to explore and interact with live IBM Cloud Object Storage data through natural language prompts.

  1. Open the agent panel using Ctrl + Shift + / and start a new thread
  2. Enter a prompt to interact with your data, for example:
    • List all catalogs in my cdata connection
    • Show the available schemas and tables for IBM Cloud Object Storage
    • Query the top 5 records from a table in IBM Cloud Object Storage data
  3. The agent calls the CData Connect AI MCP Server and returns live results from IBM Cloud Object Storage data Querying live data from the Zed agent panel

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

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