by allmonday · MCP Server · ★ 324
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Pydantic Resolve A tool for building Domain layer modeling and use case assembly. 中文版 What is this? pydantic-resolve is a Pydantic-based declarative data assembly tool that enables you to build complex data structures with concise code, without writing tedious data fetching and assembly logic. Beyond data assembly, it also provides: GraphQL Support: Auto-generate GraphQL schemas from ERD definitions and execute queries with dynamic Pydantic model creation MCP Integration: Expose GraphQL APIs to AI agents via Model Context Protocol with progressive disclosure support It solves three core problems: Eliminate N+1 queries: Built-in DataLoader automatically batches related data loading, no manual batch query management needed Clear layered architecture: Entity-First design keeps business concepts independent of data storage, database changes no longer affect API contracts Elegant data composition: Handle cross-layer data
| Stars | 324 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.7161298599385/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-24 |
| Created | 2023-03-07 |
| Platforms | mcp, python |
| Est. Tokens | ~384k |
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pydantic-resolve is pydantic-resolve is a Pythonic clean architecture implementation framework.. It is categorized as a MCP Server with 324 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/allmonday/pydantic-resolve. The project has 324 stars and 13 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, omnicoreagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.