Use Microsoft Copilot Studio to talk to your HubDB Data via CData Connect AI

Cameron Leblanc
Cameron Leblanc
Senior Technology Evangelist
Leverage the CData Connect AI Remote MCP Server to enable Microsoft Copilot Studio to securely answer questions and take actions on your HubDB data for you.

Microsoft Copilot Studio is a no-code/low-code platform for creating AI Agents that can automate tasks, answer questions, and assist with various business processes. When combined with CData Connect AI Remote MCP, you can leverage Copilot Studio to interact with your HubDB data in real-time. This article outlines the process of connecting to HubDB using Connect AI Remote MCP and creating a connection in Copilot Studio to interact with your HubDB data.

CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to HubDB data. The CData Connect AI Remote MCP Server enables secure communication between Microsoft Copilot Studio and HubDB. This allows you to ask questions and take actions on your HubDB data using Microsoft Copilot Studio, 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 HubDB. This leverages server-side processing to swiftly deliver the requested HubDB data.

In this article, we show how to build a agent in Microsoft Copilot Studio to conversational explore (or Vibe Query) your data. The connectivity principals apply to any Copilot agent. With Connect AI you can build workflows and agents with access to live HubDB data, plus hundreds of other sources.

Step 1: Configure HubDB Connectivity for Microsoft Copilot Studio

Connectivity to HubDB from Microsoft Copilot Studio is made possible through CData Connect AI Remote MCP. To interact with HubDB data from Microsoft Copilot Studio, we start by creating and configuring a HubDB connection in CData Connect AI.

  1. Log into Connect AI, click Connections and click Add Connection Adding a Connection
  2. Select "HubDB" from the Add Connection panel Selecting a data source
  3. Enter the necessary authentication properties to connect to HubDB.

    There are two authentication methods available for connecting to HubDB data source: OAuth Authentication with a public HubSpot application and authentication with a Private application token.

    Using a Custom OAuth App

    AuthScheme must be set to "OAuth" in all OAuth flows. Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

    Follow the steps below to register an application and obtain the OAuth client credentials:

    1. Log into your HubSpot app developer account.
      • Note that it must be an app developer account. Standard HubSpot accounts cannot create public apps.
    2. On the developer account home page, click the Apps tab.
    3. Click Create app.
    4. On the App info tab, enter and optionally modify values that are displayed to users when they connect. These values include the public application name, application logo, and a description of the application.
    5. On the Auth tab, supply a callback URL in the "Redirect URLs" box.
      • If you're creating a desktop application, set this to a locally accessible URL like http://localhost:33333.
      • If you are creating a Web application, set this to a trusted URL where you want users to be redirected to when they authorize your application.
    6. Click Create App. HubSpot then generates the application, along with its associated credentials.
    7. On the Auth tab, note the Client ID and Client secret. You will use these later to configure the driver.
    8. Under Scopes, select any scopes you need for your application's intended functionality.

      A minimum of the following scopes is required to access tables:

      • hubdb
      • oauth
      • crm.objects.owners.read
    9. Click Save changes.
    10. Install the application into a production portal with access to the features that are required by the integration.
      • Under "Install URL (OAuth)", click Copy full URL to copy the installation URL for your application.
      • Navigate to the copied link in your browser. Select a standard account in which to install the application.
      • Click Connect app. You can close the resulting tab.

    Using a Private App

    To connect using a HubSpot private application token, set the AuthScheme property to "PrivateApp."

    You can generate a private application token by following the steps below:

    1. In your HubDB account, click the settings icon (the gear) in the main navigation bar.
    2. In the left sidebar menu, navigate to Integrations > Private Apps.
    3. Click Create private app.
    4. On the Basic Info tab, configure the details of your application (name, logo, and description).
    5. On the Scopes tab, select Read or Write for each scope you want your private application to be able to access.
    6. A minimum of hubdb and crm.objects.owners.read is required to access tables.
    7. After you are done configuring your application, click Create app in the top right.
    8. Review the info about your application's access token, click Continue creating, and then Show token.
    9. Click Copy to copy the private application token.

    To connect, set PrivateAppToken to the private application token you retrieved.

    Configuring a connection (Salesforce is shown) Click Save & Test
  4. Navigate to the Permissions tab in the Add HubDB Connection page and update the User-based permissions. Updating permissions

With the connection configured, we are ready to connect to HubDB data from Microsoft Copilot Studio.

Step 2: Connect Microsoft Copilot Studio to CData Connect AI

Follow these steps to add a CData Connect AI MCP connection in Microsoft Copilot Studio:

  1. Under Tools, click Add tool, then click + New Tool. Add a Tool to the Copilot agent
  2. In the Add Tool window, search for and click CData Connect AI. Select Model Context Protocol
  3. In the Connect to CData Connect AI window, click Create to authenticate your connection CData Connect AI using OAuth authentication. Configure the MCP Tool
  4. Click Add and configure to add the CData Connect AI Tool to your agent. Create a new connection for the MCP Tool

Optional: Give the AI Agent context

This step establishes the AI Agent's role and provides context for the conversation through the Instructions property in the Agent. By providing instructions that explicitly informs the agent about its role as an MCP Server expert and lists the available tools, you can enhance the agent's understanding and response accuracy. For example, you can set the System Message to:

You are an expert at using the MCP Client tool connected which is the CData Connect AI MCP Server. Always search thoroughly and use the most relevant MCP Client tool for each query. Below are the available tools and a description of each:
queryData: Execute SQL queries against connected data sources and retrieve results. When you use the queryData tool, ensure you use the following format for the table name: catalog.schema.tableName
getCatalogs: Retrieve a list of available connections from CData Connect AI. The connection names should be used as catalog names in other tools and in any queries to CData Connect AI. Use the `getSchemas` tool to get a list of available schemas for a specific catalog.
getSchemas: Retrieve a list of available database schemas from CData Connect AI for a specific catalog. Use the `getTables` tool to get a list of available tables for a specific catalog and schema.
getTables: Retrieve a list of available database tables from CData Connect AI for a specific catalog and schema. Use the `getColumns` tool to get a list of available columns for a specific table.
getColumns: Retrieve a list of available database columns from CData Connect AI for a specific catalog, schema, and table.
getProcedures: Retrieve a list of stored procedures from CData Connect AI for a specific catalog and schema
getProcedureParameters: Retrieve a list of stored procedure parameters from CData Connect AI for a specific catalog, schema, and procedure.
executeProcedure: Execute stored procedures with parameters against connected data sources
  

Step 3: Explore Live HubDB Data with Microsoft Copilot Studio

With the Agent created in Microsoft Copilot Studio and the MCP tool connected, you can now interact with your HubDB data using Microsoft Copilot Studio. The MCP tool allows you to send queries and receive responses from the HubDB data source in real-time.

Open the chat window in your Microsoft Copilot Studio Agent to begin interacting with your HubDB data. You can ask questions, retrieve data, and perform actions on your HubDB data using the MCP tool: Interact with your data using the MCP Tool in Microsoft Copilot Studio

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