What prerequisites are needed to use this server?
You need a dbt Cloud account with Semantic Layer enabled, API access to your dbt Cloud instance, and Node.js v14 or later.
@TommyBez
基本情報
MCP Server for querying DBT Semantic Layer
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"dbt-semantic-layer-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@TommyBez/dbt-semantic-layer-mcp",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
The dbt Semantic Layer MCP Server is a Model Context Protocol server that enables querying the dbt Semantic Layer through AI assistants like Claude Desktop. It acts as a bridge to explore, query, and visualize dbt metrics using natural language, providing a single source of truth for business metrics.
Install via Smithery (recommended) using the command npx -y @smithery/cli install @TommyBez/dbt-semantic-layer-mcp --client claude. You need a dbt Cloud account with Semantic Layer enabled and API access, plus Node.js v14 or later. After configuration, ask natural language questions about metrics from Claude Desktop.
You need a dbt Cloud account with Semantic Layer enabled, API access to your dbt Cloud instance, and Node.js v14 or later.
The recommended installation method is via Smithery using the command `npx -y @smithery/cli install @TommyBez/dbt-semantic-layer-mcp --client claude`.
Verify that your API credentials are correct, ensure your dbt Cloud project has Semantic Layer enabled, and check that your metrics are properly defined in your dbt project.
Yes, the server is described as compatible with Claude Desktop and other compatible AI assistants.
You can ask about available metrics, query specific metrics with filters and groupings (e.g., time periods, product categories), and analyze trends like week-over-week growth.

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,
Project context your AI can query through MCP — with source evidence.
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Model Context Protocol Servers

The Cloud is the AI-native workspace that gives every AI — Claude, ChatGPT, Gemini, and other Frontier & Free or Local models — shared memory and real agents. Not cloud computing: thecloud.so is one workspace where your
コメント