by dbt-labs · MCP Server · ★ 582
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dbt MCP Server This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform. Read our documentation here to learn more. This blog post provides more details for what is possible with the dbt MCP server. Experimental MCP Bundle We publish an experimental Model Context Protocol Bundle () with each release so that MCPB-aware clients can import this server without additional setup. Download the bundle from the latest release assets and follow Anthropic's CLI docs to install or inspect it. Feedback If you have comments or questions, create a GitHub Issue or join us in the community Slack in the channel. Architecture The dbt MCP server architecture allows for your agent to connect to a variety of tools. Tools SQL : Executes SQL on dbt Platform infrastructure with Semantic Layer support. :
| Stars | 582 |
| Forks | 124 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 48.908/100 |
| Open Issues | 35 |
| Last Updated | 2026-06-18 |
| Created | 2025-03-12 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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dbt-mcp is A MCP (Model Context Protocol) server for interacting with dbt.. It is categorized as a MCP Server with 582 GitHub stars.
dbt-mcp is primarily written in Python. It covers topics such as data-analytics, data-engineering, dbt.
You can find installation instructions and usage details in the dbt-mcp GitHub repository at github.com/dbt-labs/dbt-mcp. The project has 582 stars and 124 forks, indicating an active community.
dbt-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to dbt-mcp on Agent Skills Hub include clarilayer, google_workspace_mcp, jadx-ai-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.