Configuring Dbt Mcp Server
OfficialHelps with MCP tools, server as part of data analysis and analytics workflows workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add dbt-labs/dbt-agent-skills --skill configuring-dbt-mcp-server -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
dbt-labs
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned dbt-labs/dbt-agent-skills at 0d094169f5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0d094169f5
- Scanned
- 4 files, 420 lines
About this skill
What it does
This skill enables AI agents to configure and manage dbt (data build tool) MCP (Model Context Protocol) server instances for data transformation workflows. It provides programmatic access to dbt configuration settings through standardized protocol interfaces.
When to use it
- Setting up automated data pipeline orchestration with AI assistance
- Integrating dbt transformations into agent-driven analytics workflows
- Managing connection parameters and project configurations programmatically
- Deploying dbt MCP server instances in production environments
Key capabilities
- Configure dbt MCP server connection settings
- Manage data transformation project configurations
- Enable AI agents to interact with dbt through MCP protocol
- Support 44+ installations for enterprise data workflows
Example prompts
- "Configure the dbt MCP server with my warehouse credentials"
- "Set up a new dbt project configuration for the analytics team"
- "Connect the MCP server to our Snowflake data warehouse"
Tips & gotchas
Ensure you have proper dbt MCP server documentation before configuring. The skill requires understanding of both dbt architecture and MCP protocol specifications.