🛠️ dbt MCP Server

Name: 🛠️ dbt MCP Server
Author: kannandreams

@kannandreams

代码仓库

关于 🛠️ dbt MCP Server

dbt-mcp-server

基本信息

分类

数据与分析

运行时

python

传输方式

stdio

发布者

kannandreams

配置

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

未检测到工具

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。

概览

What is dbt MCP Server?

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.

How to use dbt MCP Server?

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.

Key features of dbt MCP Server

Run dbt models using a clean JSON spec
Accept CLI or HTTP API calls
Slack alerts for model success or failure
Compatible with AI tools like Claude
Extensible and minimal design
Unified interface for triggering dbt operations

Use cases of dbt MCP Server

Automate dbt model runs by chatting with Claude
Trigger dbt tests and models via a REST API
Receive immediate Slack notifications on model completion or errors
Integrate dbt into AI-driven data pipelines

FAQ from dbt MCP Server

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.