Integrate Cursor with Live Airtable Data via CData Connect AI

Cursor is an AI-powered code editor that embeds conversational and agent-style assistance alongside your development workflow. By extending Cursor with MCP (Model Context Protocol) tools, you can give its AI agents secure access to external systems such as APIs and databases.

Integrating Cursor with CData Connect AI via the built-in MCP server allows the editor's AI to query, analyze, and act on live Airtable data without copying data into the IDE. The result is a development experience where you can chat with your governed enterprise data directly from Cursor.

This article outlines how to configure Airtable connectivity in Connect AI, generate the required access token, register Connect AI's MCP Server in Cursor, and then use the AI chat pane to explore live Airtable data.

Step 1: Configure Airtable connectivity for Cursor

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

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a connection in Connect AI

2. Select Airtable from the Add Connection panel
👁 Selecting data source

3. Enter the necessary authentication properties to connect to Airtable.

   APIKey, BaseId and TableNames parameters are required to connect to Airtable. ViewNames is an optional parameter where views of the tables may be specified.

   • APIKey : API Key of your account. To obtain this value, after logging in go to Account. In API section click Generate API key.
   • BaseId : Id of your base. To obtain this value, it is in the same section as the APIKey. Click on Airtable API, or navigate to https://airtable.com/api and select a base. In the introduction section you can find "The ID of this base is appxxN2ftedc0nEG7."
   • TableNames : A comma separated list of table names for the selected base. These are the same names of tables as found in the UI.
   • ViewNames : A comma separated list of views in the format of (table.view) names. These are the same names of the views as found in the UI.
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab and update user-based permissions
👁 Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Cursor. It is best practice to create a separate PAT for each integration to maintain granular access control.

1. Click the gear icon () at the top right of the Connect AI app to open Settings
2. On the Settings page, go to the Access Tokens section and click Create PAT
3. Give the PAT a descriptive name and click Create
👁 Creating a new PAT

4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use

With the Airtable connection configured and a PAT generated, Cursor can now connect to Airtable data through Connect AI.

Step 2: Configure Connect AI in Cursor

Next, configure Cursor to use Connect AI. Cursor reads MCP configuration from an mcp.json file in the user configuration directory and exposes the registered servers under the Tools & MCP settings. Once configured, Cursor's AI chat can call the tools exposed by CData Connect AI.

1. Download the Cursor desktop application and complete the sign-up flow for your account
2. From the top menu, click Settings to open the settings panel 👁 Opening Cursor Settings
   
3. In the left navigation, open the Tools & MCP tab and click Add Custom MCP 👁 Tools & MCP tab with Add Custom MCP
   
4. Cursor opens an mcp.json file in the editor
5. Add the following configuration. Make sure to base64-encode your email:PAT before inserting into the header:

   {
    "mcpServers": {
    "cdata-mcp": {
    "url": "https://mcp.cloud.cdata.com/mcp",
    "headers": {
    "Authorization": "Basic your_base64_encoded_email_PAT"
    }
    }
    }
   }
   		

   👁 Configuring mcp.json with Connect AI
   
6. Save the file
7. Return to Settings and then select Tools & MCP. You can now see cdata-mcp enabled with an active indicator 👁 Connect AI enabled
   

Step 3: Chat with CData Connect AI from Cursor

1. From the top bar, click Toggle AI Pane to open the chat window 👁 Opening the AI pane
   
2. Test the connection by entering "List connections"
3. You can also run queries like "Query Airtable data and list the high priority accounts" 👁 Querying Airtable data from Connect AI
   

Cursor is now fully integrated with the CData Connect AI MCP Server and can act on live Airtable data directly from the editor.

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