Integrate Devin with Live Aha! 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 Aha! data. You can list catalogs, explore schemas, and query records from Aha! data using natural language prompts, with all data access running securely against authorized sources.

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

Step 1: Configure Aha! connectivity for Devin

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

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

2. Select Aha! from the Add Connection panel

3. Enter the necessary authentication properties to connect to Aha!.

   Start by setting the Profile connection property to the location of the Aha! Profile on disk (e.g. C:\profiles\aha.apip). Next, set the ProfileSettings connection property to the connection string for Aha! (see below).

   Aha! API Profile Settings

   The Aha! API uses OAuth-based authentication.

   You will first need to register an OAuth app with Aha!. This can be done from your Aha! account under 'Settings' > 'Personal' > 'Developer' > 'OAuth Applications'. Additionally, set the Domain, found in the domain name of your Aha account. For example if your Aha account is acmeinc.aha.io, then the Domain should be 'acmeinc'.

   After setting the following in the connection string, you are ready to connect:

   • AuthScheme: Set this to OAuth.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
   • OAuthClientId: Set this to the client_id that is specified in you app settings.
   • OAuthClientSecret: Set this to the client_secret that is specified in you app settings.
   • CallbackURL: Set this to the Redirect URI you specified in your app settings.
   • Domain: Set this in the ProfileSettings to your Aha domain.
   
4. Click Save & Test
5. Navigate to the Permissions tab and update user-based permissions

With the Aha! connection configured, Devin can now connect to Aha! 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 Aha! data from Devin

With the integration complete, start a Devin session and interact with live Aha! 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 Aha!
   • Query the top 5 records from a table in Aha!
3. Devin calls the Connect AI MCP Server and returns live results from Aha! 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 Aha! 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

To access hundreds of SaaS, big data, and NoSQL sources directly from your cloud applications, try CData Connect AI today. Download a free 14-day trial of CData Connect AI, and our Support Team is available to help with any questions you have.