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URL: https://www.cdata.com/kb/tech/presto-cloud-gumloop.rst

⇱ Integrating Gumloop with Presto Data via CData Connect AI

Integrating Gumloop with Presto Data via CData Connect AI

👁 Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Gumloop to securely access and act on Presto data within automated workflows.

Gumloop is a visual automation platform designed to create AI-powered workflows by combining triggers, AI nodes, APIs, and data connectors. By integrating Gumloop with CData Connect AI through the built-in MCP (Model Context Protocol) Server, workflows can seamlessly access and interact with live Presto data.

The platform provides a low-code environment, making it easier to orchestrate complex processes without heavy development effort. Its flexibility allows integration across multiple business applications, enabling end-to-end automation with live data.

This article outlines the steps required to configure Presto connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries Presto data.

About Presto Data Integration

Accessing and integrating live data from Trino and Presto SQL engines has never been easier with CData. Customers rely on CData connectivity to:

  • Access data from Trino v345 and above (formerly PrestoSQL) and Presto v0.242 and above (formerly PrestoDB)
  • Read and write access all of the data underlying your Trino or Presto instances
  • Optimized query generation for maximum throughput.

Presto and Trino allow users to access a variety of underlying data sources through a single endpoint. When paired with CData connectivity, users get pure, SQL-92 access to their instances, allowing them to integrate business data with a data warehouse or easily access live data directly from their preferred tools, like Power BI and Tableau.

In many cases, CData's live connectivity surpasses the native import functionality available in tools. One customer was unable to effectively use Power BI due to the size of the datasets needed for reporting. When the company implemented the CData Power BI Connector for Presto they were able to generate reports in real-time using the DirectQuery connection mode.


Getting Started


Step 1: Configure Presto Connectivity for Gumloop

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

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

    Set the Server and Port connection properties to connect, in addition to any authentication properties that may be required.

    To enable TLS/SSL, set UseSSL to true.

    Authenticating with LDAP

    In order to authenticate with LDAP, set the following connection properties:

    • AuthScheme: Set this to LDAP.
    • User: The username being authenticated with in LDAP.
    • Password: The password associated with the User you are authenticating against LDAP with.

    Authenticating with Kerberos

    In order to authenticate with KERBEROS, set the following connection properties:

    • AuthScheme: Set this to KERBEROS.
    • KerberosKDC: The Kerberos Key Distribution Center (KDC) service used to authenticate the user.
    • KerberosRealm: The Kerberos Realm used to authenticate the user with.
    • KerberosSPN: The Service Principal Name for the Kerberos Domain Controller.
    • KerberosKeytabFile: The Keytab file containing your pairs of Kerberos principals and encrypted keys.
    • User: The user who is authenticating to Kerberos.
    • Password: The password used to authenticate to Kerberos.
    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Presto Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Gumloop. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the Presto connection configured and a PAT generated, Gumloop is prepared to connect to Presto data through the CData MCP server.

Step 2: Connect to the MCP server in Gumloop

The MCP server endpoint and authentication values from Connect AI must be added to Gumloop credentials.

  1. Sign in to Gumloop and create an account
  2. Visit the Gumloop Credentials page to configure MCP server
  3. Click on Add Credentials and search and select MCP Server
    4. 👁 Configuring MCP server
    👁 MCP server app
  4. Provide the following details:

The MCP server is now available to build workflows in Gumloop.

Step 3: Build a workflow and explore live Presto data with Gumloop

  1. Visit Gumloop Personal workspace and click on the Create Flow
    2. 👁 Create Gumloop workflow
  2. Select the icon or press Ctrl + B to add a node or a subflow
    3. 👁 Add a node
  3. Search for Ask AI and select it
    4. 👁 Select Ask AI
  4. Click Show More Options and enable the Connect MCP Server? option
    5. 👁 Enable 'Connect MCP Server?'
  5. From the MCP Servers dropdown, choose the saved MCP credential
  6. Add a Prompt and Choose an AI Model according to your requirements
    7. 👁 Add Prompt
  7. After configuring the required details, Click Run to run the pipeline
    8. 👁 Example 1: Gumloop workflow execution
    👁 Example 2: Gumloop workflow execution

With the workflow run completed, Gumloop demonstrates successful retrieval of Presto data through the CData Connect AI MCP server, with the MCP Client node providing the ability to ask questions, retrieve records, and perform actions on the data.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!