Access Live Bitbucket Data in Roo Code via CData Connect AI

Anusha M B
Anusha M B
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Roo Code agents to securely access and build applications with live Bitbucket data through MCP integration.

Roo Code is an open-source AI coding agent that runs inside VS Code with real file system access, terminal control, and multi-step workflows. It works across entire project workspaces through specialized modes like Code, Architect, and Orchestrator. Available as a VS Code Extension for local development, or as Cloud Agents that integrate with Slack and GitHub. Roo Code natively supports MCP, connecting external tools and data sources via STDIO or Streamable HTTP.

By default, Roo Code has no access to live enterprise data. CData Connect AI bridges this gap by exposing hundreds of data sources. Once connected, Roo can introspect live schemas, validate queries, and generate code directly inside VS Code, retrieved by real enterprise data.

Step 1: Configure Bitbucket connectivity for Roo Code

Connectivity to Bitbucket from Roo Code is made possible through CData Connect AI's Remote MCP Server. To interact with Bitbucket data from Roo Code, start by creating and configuring a Bitbucket 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 Bitbucket from the Add Connection panel
  4. Selecting data source
  5. Enter the necessary authentication properties to connect to Bitbucket.

    For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.

    Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:

    • Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
    • Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.

    Authenticating to Bitbucket

    Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.

    Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

    Creating a custom OAuth application

    From your Bitbucket account:

    1. Go to Settings (the gear icon) and select Workspace Settings.
    2. In the Apps and Features section, select OAuth Consumers.
    3. Click Add Consumer.
    4. Enter a name and description for your custom application.
    5. Set the callback URL:
      • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
      • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
    6. If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
    7. Select which permissions to give your OAuth application. These determine what data you can read and write with it.
    8. To save the new custom application, click Save.
    9. After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.
    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 Roo Code. 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 Bitbucket connection configured and a PAT generated, Roo Code can now connect to Bitbucket data through Connect AI.

Step 2: Configure Connect AI in Roo Code

CData Connect AI can be integrated with Roo Code by registering the MCP Server directly in the Roo Code MCP configuration panel. Once registered, Roo Code agents can call live Bitbucket data through MCP tools without additional setup.

Method 1: Direct MCP configuration

Users can register the CData Connect AI MCP Server directly in the Roo Code MCP settings. Once registered, agents in any project can query live Bitbucket data through MCP tools without additional setup.

  1. Open VS Code with the Roo Code extension installed
  2. Click the Roo Code icon in the Activity Bar
  3. Navigate to Settings, then choose MCP Servers in the Roo Code pane and turn on Enable MCP Servers, now click Edit Global MCP to open the MCP configuration file Opening MCP configuration in Roo Code
  4. In the mcp_settings.json file, add the following inside the mcpServers object, replacing base64encode with your Base64-encoded email:PAT
    {
        "mcpServers": {
            "cdata-mcp": {
                "type": "streamable-http",
                "url": "https://mcp.cloud.cdata.com/mcp",
                "headers": {
                    "Authorization": "Basic base64encode(USERNAME:PAT)"
                }
            }
        }
    }
            
    Configuring the CData MCP Server in Roo Code
  5. Save the file to register the MCP server
  6. Return to the MCP Servers panel and confirm that cdata-mcp is listed and its toggle is enabled. If it is not enabled, toggle it on
  7. Confirm that CData MCP Server is listed

With the CData MCP Server registered and enabled, Roo Code agents can now query and act on live Bitbucket data through Connect AI in any project.

Query live Bitbucket data from Roo Code

With the MCP server configured, start a conversation in the Roo Code chat panel to interact with live Bitbucket data.

  1. Open the Roo Code chat and enter a prompt to explore your data, for example:
    • List all available catalogs in my cdata-mcp connection.
    • Show the schemas and tables available for Bitbucket.
    • Query the top 5 records from Bitbucket data.
  2. The agent calls the CData Connect AI MCP Server and returns live results from Bitbucket data
  3. Roo Code agent returning live data from CData Connect AI

Method 2: Build an application with natural language

Users can direct Roo Code to build a full application that connects to the CData Connect AI MCP Server through a natural language prompt. The agent gathers the required endpoint and credentials interactively, then generates a working application wired to live Bitbucket data — all from the Roo Code chat panel inside VS Code.

  1. Open the Roo Code panel in VS Code and select your preferred model from the dropdown
  2. Enter a prompt that describes the application you want to build. For example:
    I would like to build a small application that connects to a remote MCP 
    HTTPS server. I already have the MCP endpoint URL and the required 
    credentials. The application should:
      - Establish a connection to the remote MCP server
      - Authenticate using the provided credentials
      - Retrieve and list all available catalogs from the MCP
    
    Please make sure the credentials are stored securely in a .env file
    and not hardcoded in the application.
            
  3. Roo Code will prompt you to provide the MCP endpoint URL and authentication credentials. Supply the following values:
    • MCP Endpoint URL: https://mcp.cloud.cdata.com/mcp
    • Authorization: Basic base64(email:PAT)
  4. Roo Code creates the project directory, initializes a Node.js project, installs the necessary packages, and stores credentials securely in a .env file Roo Code agent building an application connected to CData Connect AI

At this point, Roo Code has built an application that communicates with the CData Connect AI MCP Server and retrieves live Bitbucket data, all from a single natural language prompt inside VS Code.

Get CData Connect AI

To access hundreds of SaaS, Big Data, and NoSQL sources directly from Roo Code, try CData Connect AI today! Sign up for a free 14-day trial of CData Connect AI, and as always, our world-class Support Team is available to assist you with any questions you may have.

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