Integrate Devin with Live Pinterest 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 Pinterest data. You can list catalogs, explore schemas, and query records from Pinterest data using natural language prompts, with all data access running securely against authorized sources.
This article explains how to configure Pinterest connectivity in Connect AI, install the CData Connect AI MCP Server from the Devin MCP marketplace, and verify the integration by querying live Pinterest data from a Devin session.
Step 1: Configure Pinterest connectivity for Devin
Connectivity to Pinterest from Devin is made possible through Connect AI's Remote MCP Server. To interact with Pinterest data from Devin, start by creating and configuring a Pinterest connection in Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select Pinterest from the Add Connection panel
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Enter the necessary authentication properties to connect to Pinterest.
Pinterest authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Pinterest developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL.
Set InitiateOAuth to GETANDREFRESH and set OAuthClientId, OAuthClientSecret, and CallbackURL based on the property values for the app you created.
See the Help documentation for other OAuth authentication flows.
- Click Save & Test
- Navigate to the Permissions tab and update user-based permissions
With the Pinterest connection configured, Devin can now connect to Pinterest 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.
- Log into Devin and navigate to Settings and Connections, then select the MCP servers tab
- Search for CData Connect AI in the marketplace and select the verified listing
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Click Install and enable. When prompted, complete the OAuth flow to authenticate with your Connect AI account
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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 Pinterest data from Devin
With the integration complete, start a Devin session and interact with live Pinterest data through natural language prompts.
- From the Devin home page, start a new session
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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 Pinterest
- Query the top 5 records from a table in Pinterest
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Devin calls the Connect AI MCP Server and returns live results from Pinterest 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 Pinterest 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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