Integrate Devin with Live Greenhouse Data Using CData Connect AI

Anusha M B
Anusha M B
Technical Marketing Engineer
Use the CData Connect AI Remote MCP Server to enable Devin, the AI software engineer, to securely access and query live Greenhouse data.

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

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

Step 1: Configure Greenhouse connectivity for Devin

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a connection in Connect AI
  3. Select Greenhouse from the Add Connection panel
  4. Selecting data source
  5. Enter the necessary authentication properties to connect to Greenhouse.

    You need an API key to connect to Greenhouse. To create an API key, follow the steps below:

    1. Click the Configure icon in the navigation bar and locate Dev Center on the left.
    2. Select API Credential Management.
    3. Click Create New API Key.
      • Set "API Type" to Harvest.
      • Set "Partner" to custom.
      • Optionally, provide a description.
    4. Proceed to Manage permissions and select the appropriate permissions based on the resources you want to access through the driver.
    5. Copy the created key and set APIKey to that value.
    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

With the Greenhouse connection configured, Devin can now connect to Greenhouse 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. Viewing MCP servers in Devin and searching for CData Connect AI
  4. Click Install and enable. When prompted, complete the OAuth flow to authenticate with your Connect AI account Installing the Connect AI MCP Server in Devin
  5. 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 Verifying the Connect AI MCP tools in Devin

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

Step 3: Query live Greenhouse data from Devin

With the integration complete, start a Devin session and interact with live Greenhouse 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 Greenhouse
    • Query the top 5 records from a table in Greenhouse
  3. Devin calls the Connect AI MCP Server and returns live results from Greenhouse data directly in the session. You can follow the tool calls, inputs, and outputs in the Progress panel Querying live data from a Devin session

At this point, Devin communicates with the Connect AI MCP Server and retrieves live Greenhouse 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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