Use Claude to Talk to Your Bitbucket Data via CData Connect AI

Claude is a family of advanced large language models (LLMs) built by Anthropic, an AI research company founded in 2021. These models power the Claude conversational assistant and developer tools.

CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to Bitbucket data. The CData Connect AI Remote MCP Server enables secure communication between Claude and Bitbucket. This allows you to ask questions and take actions on your Bitbucket data using Claude, all without the need for data replication to a natively supported database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to Bitbucket. This leverages server-side processing to swiftly deliver the requested Bitbucket data.

Step 1: Configure Bitbucket Connectivity for Claude

Connectivity to Bitbucket from Claude is made possible through CData Connect AI Remote MCP. To interact with Bitbucket data from Claude, we 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. Select "Bitbucket" from the Add Connection panel

3. 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.
   
4. Click Save & Test

Step 2: Connect Claude to CData Connect AI

Follow these steps to add a CData Connect AI connector in Claude:

1. Sign in to Claude.ai or create a new account.
2. Expand the left navigation menu.
3. In the bottom-left corner, click your user name and select Settings from the menu. The Settings screen appears.
4. In the Settings screen, click Connectors.
5. Click the button to Browse Connectors.
6. Search for "CData Connect AI" and click the listing.
7. Click "Connect" and sign into your Connect AI account.
8. After connecting, Claude opens a new chat.

Step 3: Explore Live Bitbucket Data with Claude

1. You can now start exploring your data with natural language prompts. Claude outlines the steps it uses to retrieve data from the source in CData Connect AI. Refer to CData's prompt library for prompt ideas.

NOTE: Claude's setup process is subject to change. Refer to Claude's documentation for the latest setup information.

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