Build Airtable-Powered Applications in Gemini Code Assist with CData Code Assist MCP
Gemini Code Assist is an AI-powered coding companion that integrates intelligent code generation into everyday development workflows. With support for MCP, Gemini Code Assist can connect to live enterprise data sources directly from Visual Studio Code, enabling natural language interaction with structured data without switching context or manually writing data access code.
Model Context Protocol (MCP) is an open standard for connecting LLM clients to external services through structured tool interfaces. MCP servers expose capabilities such as schema discovery and live querying, allowing AI agents to retrieve and reason over real-time data safely and consistently.
This guide walks through installing the CData Code Assist MCP for Airtable, configuring the connection to Airtable, connecting the Code Assist MCP add-on to Gemini Code Assist, and querying live Airtable data from within the editor.
Prerequisites
Before starting, ensure the following requirements are met:
- Visual Studio Code is installed on the machine
- Gemini Code Assist extension is enabled in Visual Studio Code
- CData Code Assist MCP for Airtable has been installed
- Access to Airtable
Note: Gemini Code Assist must already be set up and functional in Visual Studio Code before configuring MCP servers. MCP servers are accessed when Gemini Code Assist is running in Agent mode.
Step 1: Download and install the CData Code Assist MCP for Airtable
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To begin, download the CData Code Assist MCP for Airtable
- Find and double-click the installer to begin the installation
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Run the installer and follow the prompts to complete the installation
When the installation is complete, the Code Assist MCP add-on is ready for configuration by connecting to Airtable.
Step 2: Configure the connection to Airtable
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After installation, open the CData Code Assist MCP for Airtable configuration wizard
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for Airtable" in the Windows search bar and open the application.
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In MCP Configuration > Configuration Name, either select an existing configuration or choose
to create a new one
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Name the configuration (e.g. "cdata_airtable") and click OK
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Enter the appropriate connection properties in the configuration wizard
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.
- Click Connect to authenticate with Airtable
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Then, click Save Configuration to save the Code Assist MCP add-on
This process creates a .mcp configuration file that Gemini Code Assist will reference when launching the Code Assist MCP add-on. With the Code Assist MCP add-on configured, it is ready to connect to Gemini Code Assist.
Step 3: Connect the Code Assist MCP add-on to Gemini Code Assist
- Ensure Visual Studio Code is installed and the Gemini Code Assist extension is enabled
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From the configuration wizard, click Next after saving and testing the connection
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Select Gemini Code Assist from the AI MCP Tool dropdown
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Click Copy JSON to copy the generated MCP configuration to the clipboard
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Paste the copied JSON into the appropriate configuration file based on the desired scope:
- User-level: Configuration applies across all projects for the current user
- Workspace-level: Configuration applies only to the current workspace or project
NOTE: The configuration includes the path to Java 17+ executable and the CData Code Assist MCP add-on JAR file. The final argument must match the MCP configuration name saved in the wizard (e.g. "cdata_airtable").
- Save the configuration file and restart Visual Studio Code if necessary
Step 4: Query live Airtable data in Gemini Code Assist
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Open Visual Studio Code and select Gemini Code Assist in the activity bar
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Enter /mcp in the chat prompt to verify the connection status. The Airtable Code Assist MCP add-on should appear with a green connection indicator
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Ask questions about Airtable data using natural language. For example:
"Provide the list of all tables available in my Airtable data connection."
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Generate code that works with live Airtable data. For example:
"Write a function to retrieve records from the SampleTable_1 table where Id matches a given value."
Gemini Code Assist is now fully integrated with the CData Code Assist MCP add-on and can use the MCP tools exposed to explore schemas, execute live queries against Airtable, and generate data-aware code.
Build with Code Assist MCP. Deploy with CData Drivers.
Download Code Assist MCP for free and give your AI tools schema-aware access to live Airtable data during development. When you're ready to move to production, CData Airtable Drivers deliver the same SQL-based access with enterprise-grade performance, security, and reliability.
Visit the CData Community to share insights, ask questions, and explore what's possible with MCP-powered AI workflows.