Allows interaction with dbt projects, providing tools for managing data models and gaining insights using the Model Context Protocol.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@dbt-core-mcp list all dbt models in my project"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
The dbt Core MCP Server allows you to easily interact with your dbt projects using the Model Context Protocol (MCP). This tool aims to enhance your workflow by providing straightforward access to your data models, making analysis and insights more efficient.
Related MCP server: Hubspot Universal MCP Server
Follow these steps to set up the dbt-core-mcp on your computer:
Check System Requirements
Operating System: Windows 10 or later, macOS 10.15 or later, or a Linux distribution (Ubuntu 18.04 or later is recommended).
Memory: At least 4GB of RAM.
Storage: Minimum of 200MB free disk space.
Download the Application
Visit this page to download: dbt-core-mcp Releases.
You will see a list of available versions. Choose the latest version for your operating system.
Install the Application
After downloading, locate the downloaded file on your computer.
Double-click the file to start the installation process.
Follow the Installation Instructions
Look for the installation wizard. It will guide you through the setup process.
Choose the recommended options unless you have specific preferences.
Launch dbt-core-mcp
Once installation is complete, find the dbt-core-mcp icon on your desktop or in your applications folder.
Double-click the icon to start the application.
For your convenience, download dbt-core-mcp from the link below:
If you face any issues during installation, check your system compatibility.
Ensure you have an active internet connection while installing.
User-Friendly Interface: The clean design makes navigation simple for anyone.
MCP Support: Directly interact with your dbt models using the Model Context Protocol.
Data Insights: Gain fast insights into your data with minimal effort.
Collaborative Tools: Share your projects with team members easily.
If you encounter problems, consider the following:
Installation Errors: Ensure your OS meets the requirements and you have enough storage space.
Performance Issues: Close other applications to free up memory. Restart your computer if necessary.
Connection Problems: Check your internet connection if the application struggles to connect to dbt servers.
For more help or to connect with other users, check out our community resources:
GitHub Issues Page: Report bugs or request features. Our team actively monitors this page.
Community Forums: Join discussions with other users to share tips and experiences.
With dbt-core-mcp, you can manage and analyze your dbt projects effortlessly. Follow the steps above to get started, and don’t hesitate to seek help from the community if needed. Enjoy exploring your data!
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