Overview
What is dbt MCP Server?
The dbt MCP Server is a minimal and extensible Model Control Protocol (MCP) server designed to run dbt models through a unified interface, allowing for streamlined operations and automation.
How to use dbt MCP Server?
To use the dbt MCP Server, you can run it locally using Uvicorn or Docker. You can also trigger operations via CLI, API, or integrate with AI tools like Claude for prompt-driven automation.
Key features of dbt MCP Server?
- Unified JSON-based workflow for triggering dbt models and tests.
- Supports CLI and HTTP API calls.
- Slack notifications for task completions and model status.
- Compatibility with AI tools like Claude for enhanced automation.
Use cases of dbt MCP Server?
- Automating the execution of dbt models in data pipelines.
- Integrating with Slack for real-time notifications on model success or failure.
- Utilizing AI tools for prompt-driven data operations.
FAQ from dbt MCP Server?
- Can I run dbt MCP Server locally?
Yes! You can run it locally using Uvicorn or Docker.
- Is there support for notifications?
Yes! You can set up Slack alerts for model success or failure.
- How can I contribute to the project?
Contributions are welcome! You can open an issue or submit a pull request on the GitHub repository.