Integrating Gumloop with Sybase Data via CData Connect AI
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 Sybase 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 Sybase connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries Sybase data.
Step 1: Configure Sybase Connectivity for Gumloop
Connectivity to Sybase from Gumloop is made possible through CData Connect AI's Remote MCP Server. To interact with Sybase data from Gumloop, we start by creating and configuring a Sybase connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Sybase" from the Add Connection panel
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Enter the necessary authentication properties to connect to Sybase.
To connect to Sybase, specify the following connection properties:
- Server: Set this to the name or network address of the Sybase database instance.
- Database: Set this to the name of the Sybase database running on the specified Server.
Optionally, you can also secure your connections with TLS/SSL by setting UseSSL to true.
Sybase supports several methods for authentication including Password and Kerberos.
Connect Using Password Authentication
Set the AuthScheme to Password and set the following connection properties to use Sybase authentication.
- User: Set this to the username of the authenticating Sybase user.
- Password: Set this to the username of the authenticating Sybase user.
Connect using LDAP Authentication
To connect with LDAP authentication, configure Sybase server-side to use the LDAP authentication mechanism.
After configuring Sybase for LDAP, you can connect using the same credentials as Password authentication.
Connect Using Kerberos Authentication
To leverage Kerberos authentication, begin by enabling it setting AuthScheme to Kerberos. See the Using Kerberos section in the Help documentation for more information on using Kerberos authentication.
You can find an example connection string below:
Server=MyServer;Port=MyPort;User=SampleUser;Password=SamplePassword;Database=MyDB;Kerberos=true;KerberosKDC=MyKDC;KerberosRealm=MYREALM.COM;KerberosSPN=server-name
- Click Save & Test
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Navigate to the Permissions tab in the Add Sybase Connection page and update the User-based 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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the Sybase connection configured and a PAT generated, Gumloop is prepared to connect to Sybase 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.
- Sign in to Gumloop and create an account
- Visit the Gumloop Credentials page to configure MCP server
- Click on Add Credentials and search and select MCP Server
- Provide the following details:
- URL: https://mcp.cloud.cdata.com/mcp
- Label: A descriptive name such as Sybase-mcp-server
- Access Token / API Key: leave blank
- Additional Header: Authorization: Basic YOUR EMAIL:YOUR PAT
- Save the credentials
The MCP server is now available to build workflows in Gumloop.
Step 3: Build a workflow and explore live Sybase data with Gumloop
- Visit Gumloop Personal workspace and click on the Create Flow
- Select the icon or press Ctrl + B to add a node or a subflow
- Search for Ask AI and select it
- Click Show More Options and enable the Connect MCP Server? option
- From the MCP Servers dropdown, choose the saved MCP credential
- Add a Prompt and Choose an AI Model according to your requirements
- After configuring the required details, Click Run to run the pipeline
With the workflow run completed, Gumloop demonstrates successful retrieval of Sybase 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.
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