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 KLR-Pattern · MCP Server · ★ 326
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Pydantic Resolve Clean Architecture for Python — define business entities, declare relationships, let the framework assemble your data. 中文版 Requirements: Python 3.10+, Pydantic v2 The Missing Layer Most FastAPI projects follow the same pattern: define SQLAlchemy ORM models first, then create Pydantic schemas that mirror them. This "ORM-First" approach is so common that many developers have never questioned it. But as projects grow, it creates systemic problems: Multi-source data is har
| Stars | 326 |
| Forks | 12 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.8453271461268/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-07 |
| Created | 2023-03-07 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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pydantic-resolve is a Pythonic clean architecture implementation framework.
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pydantic-resolve is pydantic-resolve is a progressive data assembly framework which follows the stye of clean architecture. It is categorized as a MCP Server with 326 GitHub stars.
pydantic-resolve is primarily written in Python. It covers topics such as bff, fastapi, fullstack.
You can find installation instructions and usage details in the pydantic-resolve GitHub repository at github.com/KLR-Pattern/pydantic-resolve. The project has 326 stars and 12 forks, indicating an active community.
pydantic-resolve is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pydantic-resolve on Agent Skills Hub include pydantic-resolve, pydantic-deepagents, FofaMap. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.