dbt is a DevOps MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent official MCP server for dbt (data build tool). Install in 1 minute with mcpizy install dbt.
DevOps
Official MCP server for dbt (data build tool). Manage models, run transformations, query semantic layer.
mcpizy install dbtnpx -y @dbt-labs/dbt-mcpMCP server for Azure DevOps. Manage repos, pipelines, work items, and pull requests.
Manage Buildkite pipelines and builds. Monitor CI/CD status and trigger deployments.
Enable AI agents to fix build failures from CircleCI. Debug CI pipelines and analyze test results.
Access Harness platform data including pipelines, repositories, and deployments.
If dbt doesn't fit your stack, these DevOps MCP servers solve similar problems.
The dbt MCP server is an DevOps Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents official MCP server for dbt (data build tool). It exposes dbt's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install dbt` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y @dbt-labs/dbt-mcp` and restarting Claude Code.
Yes. The dbt MCP server is free and open source (see the GitHub repository linked on this page). You may still need a dbt account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can official MCP server for dbt (data build tool) directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run dbt operations, inspect results, chain dbt with other MCP servers (see our Workflow Recipes), and automate repetitive devops tasks without leaving your editor.