Integrate Devin with Live Trello Data Using CData Connect AI

Devin is an AI software engineer from Cognition that plans, writes, and tests code in autonomous sessions. It supports the model context protocol (MCP) through its built-in MCP marketplace, allowing you to install remote MCP servers and give Devin access to external tools and live data sources.

By integrating Devin with CData Connect AI through the built-in MCP Server, Devin gains governed, real-time access to live Trello data. You can list catalogs, explore schemas, and query records from Trello data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure Trello connectivity in Connect AI, install the CData Connect AI MCP Server from the Devin MCP marketplace, and verify the integration by querying live Trello data from a Devin session.

Step 1: Configure Trello connectivity for Devin

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select Trello from the Add Connection panel

3. Enter the necessary authentication properties to connect to Trello.

   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.

   • Authorization Route: At the moment of registration, Trello assigns an API key and Token to the account. See the Help documentation for information on how to connect via the Authorization route.
   • OAuth Route: Similar to using Authorization, OAuth creates an Application Id and Secret when you create your account. See the Help documentation for information on how to to connect.
   
4. Click Save & Test
5. Navigate to the Permissions tab and update user-based permissions

With the Trello connection configured, Devin can now connect to Trello data through Connect AI.

Step 2: Install the Connect AI MCP Server in Devin

Next, install the CData Connect AI MCP Server from the Devin MCP servers list so your sessions can discover and call live data tools through Connect AI.

Note: Installing MCP servers in Devin requires the Manage MCP Servers permission. If you don't have this permission, use the Suggest option or contact your organization admin.

1. Log into Devin and navigate to Settings and Connections, then select the MCP servers tab
2. Search for CData Connect AI in the marketplace and select the verified listing

3. Click Install and enable. When prompted, complete the OAuth flow to authenticate with your Connect AI account
4. Once installed, confirm the Enable in sessions toggle is on and click Test tools. Devin validates the connection and lists the available Connect AI tools, such as getCatalogs, getSchemas, getTables, and queryData

With the MCP server installed and enabled, the Connect AI tools are available to every Devin session in your workspace.

Step 3: Query live Trello data from Devin

With the integration complete, start a Devin session and interact with live Trello data through natural language prompts.

1. From the Devin home page, start a new session
2. In the session prompt, ask Devin to work with your Connect AI data, for example:
   • Can you list the connections in CData Connect AI
   • Show the available schemas and tables for Trello
   • Query the top 5 records from a table in Trello
3. Devin calls the Connect AI MCP Server and returns live results from Trello data directly in the session. You can follow the tool calls, inputs, and outputs in the Progress panel

At this point, Devin communicates with the Connect AI MCP Server and retrieves live Trello data through remote MCP tools directly from your sessions, whether you're exploring data, building features against it, or automating engineering tasks.

Get started with CData Connect AI

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