This MCP server acts as a bridge between AI assistants like Claude and the dbt Semantic Layer, allowing you to query metrics, explore definitions, and analyze data through natural language conversations. The server enables you to interact with your dbt metrics directly from your AI assistant interface.
The easiest way to install is via Smithery:
npx -y @smithery/cli install @TommyBez/dbt-semantic-layer-mcp --client claude
Once installed and configured, you can interact with the dbt Semantic Layer directly from Claude Desktop:
Ask about available metrics:
What metrics are available in my dbt Semantic Layer?
Query specific metrics:
Show me monthly revenue for the last quarter grouped by product category
Analyze trends:
What's the week-over-week growth in user signups?
If you encounter issues:
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.