dbt-mcp — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by dbt-labs · MCP Server · ★ 605

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is dbt-mcp safe to install? View the security audit →

About dbt-mcp

dbt MCP Server This MCP (Model Context Protocol) server provides various tools to interact with dbt. You can use this MCP server to provide AI agents with context of your project in dbt Core, dbt Fusion, and dbt Platform. Read our documentation here to learn more. This blog post provides more details for what is possible with the dbt MCP server. Experimental MCP Bundle We publish an experimental Model Context Protocol Bundle () with each release so that MCPB-aware clients can import this server without additional setup. Download the bundle from the latest release assets and follow Anthropic's CLI docs to install or inspect it. Feedback If you have comments or questions, create a GitHub Issue or join us in the community Slack in the channel. Architecture The dbt MCP server architecture allows for your agent to connect to a variety of tools. Tools SQL : Executes SQL on dbt Platform infrastructure with Semantic Layer support. :

data-analyticsdata-engineeringdbtllmmcpmcp-servermodel-context-protocol

Quick Facts

Stars605
Forks131
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score66.108432432595/100
Open Issues45
Last Updated2026-09-16
Created2025-03-12
Platformsmcp, python
Est. Tokens~15k

Compatible Skills

These tools work well together with dbt-mcp for enhanced workflows:

  • skills — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • investor-agent — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)
  • data-engineering-skills — semantic(0.37)+complementary+rare_topics+similar_pop (52%)
  • mcp-twikit — semantic(0.60)+same_lang+similar_pop+shared_platform (51%)

dbt-mcp alternative? Top 6 similar tools

Looking for a dbt-mcp alternative? If you're comparing dbt-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • jadx-ai-mcp by zinja-coder · ⭐ 2.7k

    Plugin for JADX to integrate MCP server

  • mcphub.nvim by ravitemer · ⭐ 1.8k

    An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive i

  • mysql_mcp_server by designcomputer · ⭐ 1.4k

    A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases

  • atlassian-mcp-server by atlassian · ⭐ 1.1k

    Official remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucke

  • maverick-mcp by wshobson · ⭐ 668

    MaverickMCP - Personal Stock Analysis MCP Server

  • wren-engine by Canner · ⭐ 663

    The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.

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Frequently Asked Questions

What is dbt-mcp?

dbt-mcp is A MCP (Model Context Protocol) server for interacting with dbt.. It is categorized as a MCP Server with 605 GitHub stars.

What programming language is dbt-mcp written in?

dbt-mcp is primarily written in Python. It covers topics such as data-analytics, data-engineering, dbt.

How do I install or use dbt-mcp?

You can find installation instructions and usage details in the dbt-mcp GitHub repository at github.com/dbt-labs/dbt-mcp. The project has 605 stars and 131 forks, indicating an active community.

What license does dbt-mcp use?

dbt-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to dbt-mcp?

The top alternatives to dbt-mcp on Agent Skills Hub include jadx-ai-mcp, mcphub.nvim, mysql_mcp_server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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