Integrate Devin with Live Salesforce Pardot 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 Salesforce Pardot data. You can list catalogs, explore schemas, and query records from Salesforce Pardot data using natural language prompts, with all data access running securely against authorized sources.
This article explains how to configure Salesforce Pardot connectivity in Connect AI, install the CData Connect AI MCP Server from the Devin MCP marketplace, and verify the integration by querying live Salesforce Pardot data from a Devin session.
Step 1: Configure Salesforce Pardot connectivity for Devin
Connectivity to Salesforce Pardot from Devin is made possible through Connect AI's Remote MCP Server. To interact with Salesforce Pardot data from Devin, start by creating and configuring a Salesforce Pardot connection in Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select Salesforce Pardot from the Add Connection panel
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Enter the necessary authentication properties to connect to Salesforce Pardot.
Salesforce Pardot supports connecting through API Version, Username, Password and User Key.
- ApiVersion: The Salesforce Pardot API version which the provided account can access. Defaults to 4.
- User: The Username of the Salesforce Pardot account.
- Password: The Password of the Salesforce Pardot account.
- UserKey: The unique User Key for the Salesforce Pardot account. This key does not expire.
- IsDemoAccount (optional): Set to TRUE to connect to a demo account.
Accessing the Pardot User Key
The User Key of the current account may be accessed by going to Settings -> My Profile, under the API User Key row.
- Click Save & Test
- Navigate to the Permissions tab and update user-based permissions
With the Salesforce Pardot connection configured, Devin can now connect to Salesforce Pardot 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 Salesforce Pardot data from Devin
With the integration complete, start a Devin session and interact with live Salesforce Pardot 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 Salesforce Pardot
- Query the top 5 records from a table in Salesforce Pardot
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Devin calls the Connect AI MCP Server and returns live results from Salesforce Pardot 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 Salesforce Pardot 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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