You don't need to clone the dbt-mcp repository — install uv and run uvx dbt-mcp (or use the configs later in this page). Only clone the repository if you want to contribute to dbt MCP.
Only accounts with static subdomains (for example, abc123 in abc123.us1.dbt.com) can use OAuth with MCP servers. Follow these instructions to find your account subdomain. If your account does not have a subdomain, contact support for more information.
Use advanced configuration when you want to define the dbt MCP server yourself in Claude’s configuration file: the same JSON where Claude stores every MCP server, under mcpServers, with fields such as command, args, and env.
See the MCP install pattern for more info on how to configure the dbt MCP server in Claude's configuration file.
To open the configuration file and add or replace the dbt MCP server entry:
Go to the Claude settings and select Settings….
In the Settings window, navigate to the Developer tab in the left sidebar. This section contains options for configuring MCP servers and other developer features.
Click the Edit Config button and open the configuration file with a text editor.
Add your server configuration based on your use case. Choose the correct JSON structure from the following options and paste the dbt entry under mcpServers in this file:
Configuration for users who want seamless OAuth authentication with the dbt platform
dbt platform only
dbt platform + CLI
This option is for users who only want dbt platform features (Discovery API, Semantic Layer, job management) without local CLI commands.
When you use only the dbt platform, the CLI tools are automatically disabled. You can find the DBT_HOST field value in your dbt platform account information under Access URLs.
Note: Replace YOUR-ACCESS-URL with your Access URL hostname (for example, abc123.us1.dbt.com). Both abc123.us1.dbt.com and https://abc123.us1.dbt.com are accepted. This enables OAuth authentication without requiring local dbt installation.
This option is for users who want both dbt CLI commands and dbt platform features (Discovery API, Semantic Layer, job management).
The DBT_PROJECT_DIR and DBT_PATH fields are required for CLI access. You can find the DBT_HOST field value in your dbt platform account information under Access URLs.
Note: Replace YOUR-ACCESS-URL with your Access URL hostname (for example, abc123.us1.dbt.com). Both abc123.us1.dbt.com and https://abc123.us1.dbt.com are accepted. This enables OAuth authentication.
Local MCP (CLI only)
Local configuration for users who only want to use dbt CLI commands with dbt Core or Fusion
DBT_PROJECT_DIR: Full path to the folder containing your dbt_project.yml file
DBT_PATH: Find by running which dbt in Terminal (macOS/Linux) or where dbt (Windows) in Powershell
Local MCP with .env
Advanced configuration for users who need custom environment variables. Put your .env file in your dbt project root (same folder as dbt_project.yml) and use an absolute path with --env-file.
Using the env field (single-file configuration):
IDs are integers, not URLs
DBT_PROD_ENV_ID, DBT_DEV_ENV_ID, and DBT_USER_ID must be numeric IDs (for example, 54321), not full URLs copied from your browser. DBT_HOST accepts both cloud.getdbt.com and https://cloud.getdbt.com.
Using an .env file (use an absolute path to .env in your dbt project root):
Save the file. Upon a successful restart of Claude Desktop, you'll see an MCP server indicator in the bottom-right corner of the conversation input box.
For debugging, you can find the Claude desktop logs at ~/Library/Logs/Claude for Mac or %APPDATA%\Claude\logs for Windows.
If you use OAuth in the JSON patterns mentioned in the next section, you need a static subdomain for your access URL (see the callout under Claude Desktop on this page).
You can set up Claude Code with both the local and remote dbt-mcp server. We recommend using the local dbt-mcp for more developer-focused workloads. See the About MCP page for more information about local and remote server features.
environment variables (including an .env file with --env-file for dbt-mcp, if you use that pattern).
Add the same dbt server definition to .mcp.json at your project root (the repository root for your workspace). Claude Code loads MCP servers from this file.
Use the same mcpServers JSON shape as in Set up local MCP (command, args, and env, or args with --env-file), matching the patterns in next Example config in .mcp.json section.
If you already completed local MCP setup for another client, reuse that dbt entry in .mcp.json — you don't need a second, separate registration step for Claude Code.
Configuration for users who want seamless OAuth authentication with the dbt platform
dbt platform only
dbt platform + CLI
This option is for users who only want dbt platform features (Discovery API, Semantic Layer, job management) without local CLI commands.
When you use only the dbt platform, the CLI tools are automatically disabled. You can find the DBT_HOST field value in your dbt platform account information under Access URLs.
Note: Replace YOUR-ACCESS-URL with your Access URL hostname (for example, abc123.us1.dbt.com). Both abc123.us1.dbt.com and https://abc123.us1.dbt.com are accepted. This enables OAuth authentication without requiring local dbt installation.
This option is for users who want both dbt CLI commands and dbt platform features (Discovery API, Semantic Layer, job management).
The DBT_PROJECT_DIR and DBT_PATH fields are required for CLI access. You can find the DBT_HOST field value in your dbt platform account information under Access URLs.
Note: Replace YOUR-ACCESS-URL with your Access URL hostname (for example, abc123.us1.dbt.com). Both abc123.us1.dbt.com and https://abc123.us1.dbt.com are accepted. This enables OAuth authentication.
Local MCP (CLI only)
Local configuration for users who only want to use dbt CLI commands with dbt Core or Fusion
DBT_PROJECT_DIR: Full path to the folder containing your dbt_project.yml file
DBT_PATH: Find by running which dbt in Terminal (macOS/Linux) or where dbt (Windows) in Powershell
Local MCP with .env
Advanced configuration for users who need custom environment variables. Put your .env file in your dbt project root (same folder as dbt_project.yml) and use an absolute path with --env-file.
Using the env field (single-file configuration):
IDs are integers, not URLs
DBT_PROD_ENV_ID, DBT_DEV_ENV_ID, and DBT_USER_ID must be numeric IDs (for example, 54321), not full URLs copied from your browser. DBT_HOST accepts both cloud.getdbt.com and https://cloud.getdbt.com.
Using an .env file (use an absolute path to .env in your dbt project root):
The Claude Code CLI can register MCP servers with claude mcp add, which typically writes local-level configuration. This is still on a per-project basis, but the config is written in the users root directory config (~/.claude.json). This is not obvious and hard to keep track of. For dbt MCP, we recommend .mcp.json in your repository so the setup is project-scoped and easier to share and troubleshoot.
Claude Desktop may return errors such as Error: spawn uvx ENOENT or Could not connect to MCP server dbt-mcp. Try replacing the command and environment variables file path with the full path. For uvx, find the full path to uvx by running which uvx on Unix systems and placing this full path in the JSON. For instance: "command": "/the/full/path/to/uvx".
Claude Code
If the dbt MCP server doesn't connect, confirm .mcp.json is at the project root and that the dbt block matches Example configuration in .mcp.json and Set up local MCP. Use the same full-path fixes for uvx (and for --env-file paths) as for Claude Desktop.