Integrating Gumloop with TaxJar 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 TaxJar 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 TaxJar 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 TaxJar connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries TaxJar data.

Step 1: Configure TaxJar Connectivity for Gumloop

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

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

    To authenticate to the TaxJar API, first obtain the API Key from the TaxJar UI.

    NOTE: the API is available only for Professional and Premium TaxJar plans.

    If you already have a Professional or Premium plan you can find the API Key by logging in the TaxJar UI and navigating to Account -> TaxJar API. After obtaining the API Key, you can set it in the APIKey connection property.

    Additional Notes

    • By default, the CData connector will retrieve data of the last 3 months in cases where the entity support date range filtering. You can set StartDate to specify the minimum creation date of the data retrieved.
    • If the API Key has been created for a sandbox API account please set UseSandbox to true, but not all endpoints will work as expected. For more information, refer to the TaxJar developer documentation.
    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add TaxJar 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 TaxJar connection configured and a PAT generated, Gumloop is prepared to connect to TaxJar 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
  5. Provide the following details:
    • URL: https://mcp.cloud.cdata.com/mcp
    • Label: A descriptive name such as TaxJar-mcp-server
    • Access Token / API Key: leave blank
    • Additional Header: Authorization: Basic YOUR EMAIL:YOUR PAT
    • Configuring to CData MCP server
    • Save the credentials
    • Saved MCP Credentials

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

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

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

With the workflow run completed, Gumloop demonstrates successful retrieval of TaxJar 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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