Build EnterpriseDB-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 EnterpriseDB, configuring the connection to EnterpriseDB, connecting the Code Assist MCP add-on to Gemini Code Assist, and querying live EnterpriseDB 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 EnterpriseDB has been installed
- Access to EnterpriseDB
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 EnterpriseDB
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To begin, download the CData Code Assist MCP for EnterpriseDB
- 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 EnterpriseDB.
Step 2: Configure the connection to EnterpriseDB
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After installation, open the CData Code Assist MCP for EnterpriseDB configuration wizard
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for EnterpriseDB" 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_enterprisedb") and click OK
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Enter the appropriate connection properties in the configuration wizard
The following connection properties are required in order to connect to data.
- Server: The host name or IP of the server hosting the EnterpriseDB database.
- Port: The port of the server hosting the EnterpriseDB database.
You can also optionally set the following:
- Database: The default database to connect to when connecting to the EnterpriseDB Server. If this is not set, the user's default database will be used.
Connect Using Standard Authentication
To authenticate using standard authentication, set the following:
- User: The user which will be used to authenticate with the EnterpriseDB server.
- Password: The password which will be used to authenticate with the EnterpriseDB server.
Connect Using SSL Authentication
You can leverage SSL authentication to connect to EnterpriseDB data via a secure session. Configure the following connection properties to connect to data:
- SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
- SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
- SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
- SSLClientCertType: The certificate type of the client store.
- SSLServerCert: The certificate to be accepted from the server.
- Click Connect to authenticate with EnterpriseDB
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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_enterprisedb").
- Save the configuration file and restart Visual Studio Code if necessary
Step 4: Query live EnterpriseDB 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 EnterpriseDB Code Assist MCP add-on should appear with a green connection indicator
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Ask questions about EnterpriseDB data using natural language. For example:
"Provide the list of all tables available in my EnterpriseDB data connection."
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Generate code that works with live EnterpriseDB data. For example:
"Write a function to retrieve records from the Orders table where ShipName 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 EnterpriseDB, 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 EnterpriseDB data during development. When you're ready to move to production, CData EnterpriseDB 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.