mcp-engine-public
★ 255
vs
fastapi_mcp
★ 12.0k
mcp-engine-public vs fastapi_mcp
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.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.
01
TL;DR
mcp-engine-publicDev Tooling · ★ 255
Automating Power BI report updates via AI chat
fastapi_mcpDev Tooling · ★ 12.0k
When to choose:
- You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
- You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
When to skip:
- You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
- You need an actively updated repository (last push was November 2025).
02
Side-by-Side Comparison
Field
mcp-engine-publicfastapi_mcpCategory
Dev Tooling
Dev Tooling
Stars
★ 255
★ 12.0k
License
NOASSERTION
MIT
Install Command
git clone https://github.com/maxanatsko/mcp-engine-public.git
uv add fastapi-mcp
Updated
1w ago
11mo ago
Open Source
Yes
Yes
Tags
dax, mcp, mcp-engine
FastAPI, MCP, Python
03
Features
mcp-engine-public01Programmatic 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
fastapi_mcp01Authentication built in, using your existing FastAPI dependencies!
02FastAPI-native: Not just another OpenAPI -> MCP converter
03Zero/Minimal configuration required
04Preserving schemas of your request models and response models
05Flexible deployment - Mount your MCP server to the same app, or deploy separately
04
Use Cases
mcp-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
fastapi_mcp↳Integrating FastAPI services as tools for large language models (LLMs) that support MCP.
↳Enabling LLMs to interact with and utilize existing business logic and data exposed via FastAPI.
↳Quickly exposing authenticated FastAPI APIs as discoverable and usable tools within an MCP ecosystem.
05
Best For
mcp-engine-public—
fastapi_mcpMost PopularEssential
FAQ
FAQ
What is the difference between mcp-engine-public and fastapi_mcp?
Both mcp-engine-public and fastapi_mcp are in the Dev Tooling category. mcp-engine-public has 255 stars, while fastapi_mcp has 12.0k stars.
Which is better, mcp-engine-public or fastapi_mcp?
The best choice depends on your use case. Choose mcp-engine-public if Automating Power BI report updates via AI chat, and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is mcp-engine-public free or open source?
Yes, mcp-engine-public is open source on GitHub (NOASSERTION).
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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