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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 Trello 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 Trello connectivity in Connect AI, register the MCP server in Gumloop, and build a workflow that queries Trello data.
Connectivity to Trello from Gumloop is made possible through CData Connect AI's Remote MCP Server. To interact with Trello data from Gumloop, we start by creating and configuring a Trello connection in CData Connect AI.
Trello uses token-based authentication to grant third-party applications access to their API. When a user has granted an application access to their data, the application is given a token that can be used to make requests to Trello's API.
Trello's API can be accessed in 2 different ways. The first is using Trello's own Authorization Route, and the second is using OAuth1.0.
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.
With the Trello connection configured and a PAT generated, Gumloop is prepared to connect to Trello data through the CData MCP server.
The MCP server endpoint and authentication values from Connect AI must be added to Gumloop credentials.
The MCP server is now available to build workflows in Gumloop.
With the workflow run completed, Gumloop demonstrates successful retrieval of Trello 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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