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URL: https://www.cdata.com/kb/tech/jiraservicedesk-cloud-cursor.rst

⇱ Integrate Cursor with Live Jira Service Management Data via CData Connect AI


Integrate Cursor with Live Jira Service Management Data via CData Connect AI

πŸ‘ Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Cursor to securely access and act on live Jira Service Management data from within the editor.

Cursor is an AI-powered code editor that embeds conversational and agent-style assistance alongside your development workflow. By extending Cursor with MCP (Model Context Protocol) tools, you can give its AI agents secure access to external systems such as APIs and databases.

Integrating Cursor with CData Connect AI via the built-in MCP server allows the editor's AI to query, analyze, and act on live Jira Service Management data without copying data into the IDE. The result is a development experience where you can chat with your governed enterprise data directly from Cursor.

This article outlines how to configure Jira Service Management connectivity in Connect AI, generate the required access token, register Connect AI's MCP Server in Cursor, and then use the AI chat pane to explore live Jira Service Management data.

Step 1: Configure Jira Service Management connectivity for Cursor

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a connection in Connect AI
  3. Select Jira Service Management from the Add Connection panel
  4. πŸ‘ Selecting data source
  5. Enter the necessary authentication properties to connect to Jira Service Management.

    You can establish a connection to any Jira Service Desk Cloud account or Server instance.

    Connecting with a Cloud Account

    To connect to a Cloud account, you'll first need to retrieve an APIToken. To generate one, log in to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

    Supply the following to connect to data:

    • User: Set this to the username of the authenticating user.
    • APIToken: Set this to the API token found previously.

    Connecting with a Service Account

    To authenticate with a service account, supply the following connection properties:

    • User: Set this to the username of the authenticating user.
    • Password: Set this to the password of the authenticating user.
    • URL: Set this to the URL associated with your JIRA Service Desk endpoint. For example, https://yoursitename.atlassian.net.

    Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.

    Accessing Custom Fields

    By default, the connector only surfaces system fields. To access the custom fields for Issues, set IncludeCustomFields.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. πŸ‘ Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Cursor. 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. πŸ‘ Creating a new PAT
  5. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use

With the Jira Service Management connection configured and a PAT generated, Cursor can now connect to Jira Service Management data through Connect AI.

Step 2: Configure Connect AI in Cursor

Next, configure Cursor to use Connect AI. Cursor reads MCP configuration from an mcp.json file in the user configuration directory and exposes the registered servers under the Tools & MCP settings. Once configured, Cursor's AI chat can call the tools exposed by CData Connect AI.

  1. Download the Cursor desktop application and complete the sign-up flow for your account
  2. From the top menu, click Settings to open the settings panel πŸ‘ Opening Cursor Settings
  3. In the left navigation, open the Tools & MCP tab and click Add Custom MCP πŸ‘ Tools & MCP tab with Add Custom MCP
  4. Cursor opens an mcp.json file in the editor
  5. Add the following configuration. Make sure to base64-encode your email:PAT before inserting into the header:
    {
     "mcpServers": {
     "cdata-mcp": {
     "url": "https://mcp.cloud.cdata.com/mcp",
     "headers": {
     "Authorization": "Basic your_base64_encoded_email_PAT"
     }
     }
     }
    }
    		
    πŸ‘ Configuring mcp.json with Connect AI
  6. Save the file
  7. Return to Settings and then select Tools & MCP. You can now see cdata-mcp enabled with an active indicator πŸ‘ Connect AI enabled

Step 3: Chat with CData Connect AI from Cursor

  1. From the top bar, click Toggle AI Pane to open the chat window πŸ‘ Opening the AI pane
  2. Test the connection by entering "List connections"
  3. You can also run queries like "Query Jira Service Management data and list the high priority accounts" πŸ‘ Querying Jira Service Management data from Connect AI

Cursor is now fully integrated with the CData Connect AI MCP Server and can act on live Jira Service Management data directly from the editor.

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