Integrating GitHub Copilot with MongoDB data via CData CLI
GitHub Copilot gives developers direct access to a powerful AI agent that can autonomously complete multi-step tasks, reading and modifying files, running shell commands, managing pull requests on GitHub, and delegating work to specialized custom agents, all driven by natural language instructions. Its support for agent skills and custom instructions makes it well-suited for structured, tool-driven workflows, making it a natural fit for connecting to external data sources through CData CLI.
By describing your data goals in plain language, GitHub Copilot can handle the full setup process, from driver configuration and license activation to connection creation and query execution, without manual intervention at each step.
This article details step-by-step directions for how to connect MongoDB data to GitHub Copilot through CData CLI.
Prerequisites
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GitHub Copilot installed (either Terminal CLI or IDE Extension)
- Terminal CLI: Installing GitHub Copilot CLI - GitHub Docs
- IDE Extension (VS Code): GitHub Copilot - AI coding built your way
- CData CLI installed
- Access to MongoDB
About MongoDB Data Integration
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
- Access data from MongoDB 2.6 and above, ensuring broad usability across various MongoDB versions.
- Easily manage unstructured data thanks to flexible NoSQL (learn more here: Leading-Edge Drivers for NoSQL Integration).
- Leverage feature advantages over other NoSQL drivers and realize functional benefits when working with MongoDB data (learn more here: A Feature Comparison of Drivers for NoSQL).
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.
Getting Started
Step 1: Download the skill (one-time setup)
Always use CData CLI with the official skill.
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The official CData CLI Skill is available on GitHub and installs through npx skills in the terminal:
npx skills add CDataSoftware/cli-skills -
Follow the prompts in the terminal to install for GitHub Copilot.
Step 2: Set up the project directory
Create a project directory to contain all project files. Below are examples for using GitHub Copilot in either the Terminal or an IDE Extension (VS Code):
GitHub Copilot in Terminal CLI
Navigate to the directory within the terminal and start a session with the copilot command:
GitHub Copilot in VS Code
Select the working directory within VS Code and start a chat session:
Step 3: Establish the driver and connection
Describe what you want to accomplish in this session with the CLI and MongoDB data.
I would like to build a command line app that connects to MongoDB data and checks for updates from restaurants. Make sure to include data from important columns like borough and cuisine.
This prompt automatically loads the skill and kicks off the following process. You can always manually prompt the agent for each of the following steps.
- Driver setup: GitHub Copilot checks for an existing CData MongoDB driver, or searches and downloads a new one:
cdatacli drivers listcdatacli drivers search --driver "MongoDB"cdatacli drivers download --artifact-id <artifact-id>- Activation: Activate the MongoDB driver with a single command for a trial or full license:
cdatacli drivers activate "MongoDB" --name "<name>" --email "<email>" --trialcdatacli drivers activate "MongoDB" --name "<name>" --email "<email>" --key "<product-key>"- Establish the MongoDB connection: Check for existing MongoDB connections or create a new one:
cdatacli connection listcdatacli connection create --driver MongoDB --name my_mongodb_connection --connectionstring "Prop1=value1;Prop2=value2;..."- Create a MongoDB skill (if applicable): CData provides driver instructions for popular sources. You can use these to generate a source-specific skill file that guides the agent through best practices for the driver.
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Run the following command and save the output to your skills directory, either at the project level or globally. (Note: If you receive a "No instructions available for MongoDB" message, no driver instructions exist for this source. You can continue using the main driver skill.)
cdatacli drivers skill "MongoDB" > ~/skills/cdata-mongodb/SKILL.md
Step 4: Query MongoDB data
With the CData driver fully configured, your agent can now execute queries and write code against live MongoDB data:
cdatacli query sql --connection my_mongodb_connection --sql "SELECT * FROM restaurants"
Query MongoDB data directly from your terminal with CData CLI
GitHub Copilot and CData CLI together give your AI coding agent a direct path to live MongoDB data without custom middleware, scheduled syncs, or manual setup at each step. Describe your goal in plain language, and the agent handles driver configuration, connection setup, and query execution from start to finish in the terminal.
Download the free CData CLI and start a free, 30-day trial of the CData JDBC Driver for MongoDB today.