qartez-mcp
★ 73
vs
fastapi_mcp
★ 12.0k
qartez-mcp vs fastapi_mcp
qartez-mcp: Qartez is a code-intelligence MCP server that builds a knowledge graph of your codebase. It serves pre-computed data like page rank, blast radius, git co-change, and cyclomatic complexity to AI assistants, reducing token usage by ~94%. It provides 30 tools for code understanding, refactoring, and safety checks.; 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
qartez-mcpDev Tooling · ★ 73
AI-assisted code understanding and navigation without scanning files
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
qartez-mcpfastapi_mcpCategory
Dev Tooling
Dev Tooling
Stars
★ 73
★ 12.0k
License
NOASSERTION
MIT
Install Command
curl -sSfL https://qartez.dev/install | sh
uv add fastapi-mcp
Updated
2mo ago
11mo ago
Open Source
Yes
Yes
Tags
claude-code, code-intelligence, code-intelligence-mcp
FastAPI, MCP, Python
03
Features
qartez-mcp01Knowledge graph with quad-signal impact analysis: PageRank, blast radius, git co-change, and cyclomatic complexity
02Pre-computed 30 MCP tools covering find, outline, impact, refactor, and analysis
03Supports 37 languages via tree-sitter parsing with no per-language setup
04Modification guard that blocks risky edits on high-impact files
05Local-first with zero cloud dependency; runs entirely on your machine
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
qartez-mcp↳AI-assisted code understanding and navigation without scanning files
↳Safe refactoring with impact analysis to prevent breaking changes
↳Reducing token costs when using AI coding agents like Claude Code
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
qartez-mcp—
fastapi_mcpMost PopularEssential
FAQ
FAQ
What is the difference between qartez-mcp and fastapi_mcp?
Both qartez-mcp and fastapi_mcp are in the Dev Tooling category. qartez-mcp has 73 stars, while fastapi_mcp has 12.0k stars.
Which is better, qartez-mcp or fastapi_mcp?
The best choice depends on your use case. Choose qartez-mcp if AI-assisted code understanding and navigation without scanning files, and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is qartez-mcp free or open source?
Yes, qartez-mcp 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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