pydantic-resolve MCP Server
KLR-Pattern/pydantic-resolve
[](https://agentrank-ai.com/tool/KLR-Pattern--pydantic-resolve/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) pydantic-resolve is a progressive data assembly framework which follows the stye of clean architecture
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
KLR-Pattern/pydantic-resolve is a Python tool licensed under MIT. pydantic-resolve is a progressive data assembly framework which follows the stye of clean architecture Topics: pydantic, fastapi, python, fullstack, bff, graphql, mcp.
Ranked #412 out of 24846 indexed tools.
In the top 2% of all indexed tools.
Ecosystem
Score Breakdown
326 stars → growing community
Last commit 8d ago → recently updated
70/73 issues closed → responsive maintainer
7 contributors → small team
No dependents → no downstream usage
2,061 weekly installs → gaining traction
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
# Pydantic Resolve
> A progressive data-assembly framework for Python in Clean Architecture style — adopt each layer as you need it.
[中文版](./README.zh.md)
**Requirements:** Python 3.10+, Pydantic v2
---
## TL;DR
pydantic-resolve is a complete framework for **defining and assembling** your data layer.
- **Define** entities and relationships — Pydantic models + ER Diagram as the single source of truth.
- **Assemble** response trees — `resolve_*` / `post_*` + batch loaders, recursive and N+1-safe.
- **Expose** the same graph to REST, GraphQL, and AI agents (MCP) without rewriting.
These are progressive layers, not a package deal — most users stay on `resolve_*` and `post_*` forever, reach for ER Diagram only when relationships start repeating, and add GraphQL/MCP only when those surfaces are actually needed.
```python
from typing import Optional
from pydantic import BaseModel
from pydantic_resolve import Loader, Resolver
class TaskView(BaseModel):
id: int
title: str
Read full README on GitHub → Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.