dbt mcp
pipStandardThe dbt MCP server allows AI agents to interact with dbt projects. It exposes tools for running dbt commands, managing project configurations, and validating SQL models. It connects directly to dbt projects and their underlying data warehouses. Data engineers and analytics engineers use it to automate dbt workflows, such as testing models, generating documentation, and applying schema changes.
4811000Updated 2 weeks ago
Overview
The dbt MCP server allows AI agents to interact with dbt projects. It exposes tools for running dbt commands, managing project configurations, and validating SQL models. It connects directly to dbt projects and their underlying data warehouses. Data engineers and analytics engineers use it to automate dbt workflows, such as testing models, generating documentation, and applying schema changes.
Installation
1Install the package
pip
pip install dbt-mcp2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"dbt-labs-dbt-mcp-github": {
"command": "uvx",
"args": [
"pip install dbt-mcp"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from dbt mcp?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in dbt mcp?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in dbt mcp"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in dbt mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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