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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 explains how to install the CData Code Assist MCP for MongoDB, configure the connection to MongoDB, connect the Code Assist MCP add-on to Gemini Code Assist, and query live MongoDB data from within the editor.
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Before starting, ensure the following requirements are met:
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.
When the installation is complete, the Code Assist MCP add-on is ready for configuration by connecting to MongoDB.
NOTE: If the wizard does not open automatically, search for "CData Code Assist MCP for MongoDB" in the Windows search bar and open the application.
π Opening the CData Code Assist MCP add-on configuration wizardEnter the appropriate connection properties in the configuration wizard
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
π Configuring the Code Assist MCP add-on connectionThis 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.
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_mongodb").
"Provide the list of all tables available in my MongoDB data connection."π Querying live data from Gemini Code Assist
"Write a function to retrieve records from the restaurants table where borough matches a given value."π Generating function for live data from Gemini Code Assist
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 MongoDB, and generate data-aware code.
Download Code Assist MCP for free and give your AI tools schema-aware access to live MongoDB data during development. When you're ready to move to production, CData MongoDB 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.
Download a free MongoDB Code Assist MCP to get started:
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π MongoDB IconThe CData Code Assist MCP for MongoDB provides schema-aware context for AI-assisted code generation with live MongoDB data.