Integrate Devin with Live Google Campaign Manager 360 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 Google Campaign Manager 360 data. You can list catalogs, explore schemas, and query records from Google Campaign Manager 360 data using natural language prompts, with all data access running securely against authorized sources.
This article explains how to configure Google Campaign Manager 360 connectivity in Connect AI, install the CData Connect AI MCP Server from the Devin MCP marketplace, and verify the integration by querying live Google Campaign Manager 360 data from a Devin session.
Step 1: Configure Google Campaign Manager 360 connectivity for Devin
Connectivity to Google Campaign Manager 360 from Devin is made possible through Connect AI's Remote MCP Server. To interact with Google Campaign Manager 360 data from Devin, start by creating and configuring a Google Campaign Manager 360 connection in Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select Google Campaign Manager 360 from the Add Connection panel
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Enter the necessary authentication properties to connect to Google Campaign Manager 360.
Google Campaign Manager uses the OAuth authentication standard. The data provider facilitates OAuth in various ways as described below. The following OAuth flow requires the authenticating user to interact with DoubleClick Campaign Manager, using the browser. You can also use a service account to authenticate.
For authentication guides, see the Getting Started section of the data provider help documentation.
- Click Save & Test
- Navigate to the Permissions tab and update user-based permissions
With the Google Campaign Manager 360 connection configured, Devin can now connect to Google Campaign Manager 360 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 Google Campaign Manager 360 data from Devin
With the integration complete, start a Devin session and interact with live Google Campaign Manager 360 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 Google Campaign Manager 360
- Query the top 5 records from a table in Google Campaign Manager 360
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Devin calls the Connect AI MCP Server and returns live results from Google Campaign Manager 360 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 Google Campaign Manager 360 data through remote MCP tools directly from your sessions, whether you're exploring data, building features against it, or automating engineering tasks.
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