AgentIndex icon
AgentIndex
dbt-mcp logo
dbt-mcp
★ 612
vs
mcp-engine-public logo
mcp-engine-public
★ 255

dbt-mcp vs mcp-engine-public

dbt-mcp: The dbt MCP server provides tools for AI agents to interact with dbt projects, including SQL execution, semantic layer queries, lineage discovery, dbt CLI operations, and Admin API management. It supports dbt Core, dbt Fusion, and dbt Platform. The server includes tools for generating documentation, linting, and accessing product docs.; mcp-engine-public: MCP Engine is an MCP server that enables AI assistants like Claude, Copilot, and ChatGPT to programmatically read and modify Power BI Desktop files. It allows users to query models, create measures, manage relationships, and optimize performance through natural language. The server runs locally with zero telemetry.

01

TL;DR

dbt-mcp logo
dbt-mcpDev Tooling · ★ 612

Enable AI agents to explore and analyze dbt project metadata.

Read dbt-mcp full review →
mcp-engine-public logo
mcp-engine-publicDev Tooling · ★ 255

Automating Power BI report updates via AI chat

Read mcp-engine-public full review →
02

Side-by-Side Comparison

Field
dbt-mcp logodbt-mcp
mcp-engine-public logomcp-engine-public
Category
Dev Tooling
Dev Tooling
Stars
★ 612
★ 255
License
Apache-2.0
NOASSERTION
Install Command
git clone https://github.com/dbt-labs/dbt-mcp.git
git clone https://github.com/maxanatsko/mcp-engine-public.git
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
data-analytics, data-engineering, dbt
dax, mcp, mcp-engine
03

Features

dbt-mcp logodbt-mcp
01SQL execution and natural language to SQL conversion.
02Semantic Layer integration for metrics and dimensions.
03Discovery tools for models, sources, macros, and lineage.
04dbt CLI commands (build, compile, run, test, etc.).
05Admin API for job management and project details.
mcp-engine-public logomcp-engine-public
01Programmatic read/write of Power BI Desktop files
02Natural language query and modification
03Rollback and test capabilities
04Local privacy with zero telemetry
05Compatible with multiple AI assistants
04

Use Cases

dbt-mcp logodbt-mcp
↳Enable AI agents to explore and analyze dbt project metadata.
↳Automate dbt workflows such as model execution and testing.
↳Integrate with chatbots or coding assistants for data engineering tasks.
mcp-engine-public logomcp-engine-public
↳Automating Power BI report updates via AI chat
↳Creating and managing measures without opening Power BI Desktop
↳Performance optimization of Power BI models
FAQ

FAQ

What is the difference between dbt-mcp and mcp-engine-public?
Both dbt-mcp and mcp-engine-public are in the Dev Tooling category. dbt-mcp has 612 stars, while mcp-engine-public has 255 stars.
Which is better, dbt-mcp or mcp-engine-public?
The best choice depends on your use case. Choose dbt-mcp if Enable AI agents to explore and analyze dbt project metadata., and mcp-engine-public if Automating Power BI report updates via AI chat.
Is dbt-mcp free or open source?
Yes, dbt-mcp is open source on GitHub (Apache-2.0).
Is mcp-engine-public free or open source?
Yes, mcp-engine-public is open source on GitHub (NOASSERTION).
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