What does this server do compared to other dbt tools?
It provides a minimal, extensible MCP interface to trigger dbt models and tests using a unified JSON spec, making it easy to integrate with AI assistants like Claude.
@kannandreams
基本信息
dbt-mcp-server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dbt-mcp-server": {
"command": "docker",
"args": [
"build",
"-t",
"dbt-mcp-server",
"."
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The dbt MCP Server is a minimal, extensible MCP (Model Context Protocol) server that provides a unified JSON-based interface for running dbt models, tests, and other dbt operations. It can be triggered via CLI, HTTP API, or an AI interface like Claude, and includes Slack notifications for task completions.
Run the server locally with uvicorn mcp_dispatcher:app --reload --port 8000 or use Docker with docker build -t dbt-mcp-server . then docker run -p 8000:8000 dbt-mcp-server. Trigger dbt models by executing python mcp_dispatcher.py mcp_request.json with a JSON spec. Integrate with Claude via python claude_client_example.py. Set the SLACK_WEBHOOK_URL environment variable to receive Slack alerts.
It provides a minimal, extensible MCP interface to trigger dbt models and tests using a unified JSON spec, making it easy to integrate with AI assistants like Claude.
You need Python with uvicorn to run locally, or Docker for containerized deployment. The server runs on port 8000.
Set the `SLACK_WEBHOOK_URL` environment variable to your Slack webhook URL. Alerts are sent on model success or failure.
Run the provided `claude_client_example.py` script after starting the server. This allows Claude to trigger dbt operations via the MCP interface.
It is licensed under the MIT License, allowing free use, modification, and distribution.

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