nexusx 2.9.1

GraphQL SDL generation and query optimization for SQLModel

nexusx

Write SQLModel classes. Get a complete API.

Define your entities once in SQLModel, and you get GraphQL, REST, and MCP — no repeated data models.

flowchart LR
    sqlmodel["SQLModel"]

    sqlmodel --> graphql["GraphQL"]
    graphql --> mcp1["MCP"]

    sqlmodel --> usecase["UseCaseService"]
    usecase --> rest["REST"]
    usecase --> mcp2["MCP"]
    usecase --> cli["CLI"]

Install

pip install nexusx
pip install nexusx[fastmcp]  # with MCP support

Requires Python ≥ 3.10.

Quick Start

Step 1 — Entities + GraphQL

from sqlmodel import SQLModel, Field, Relationship, select
from nexusx import query, mutation, GraphQLHandler

class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str
    posts: list["Post"] = Relationship(back_populates="author")

    @query
    async def get_users(cls, limit: int = 10) -> list["User"]:
        async with get_session() as session:
            return (await session.exec(select(cls).limit(limit))).all()

class Post(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    title: str
    author_id: int = Field(foreign_key="user.id")
    author: User | None = Relationship(back_populates="posts")

handler = GraphQLHandler(base=SQLModel, session_factory=async_session)

Relationships resolve automatically — DataLoader batches queries, one SQL per level:

{ userGetUsers(limit: 5) { name posts { title } } }

Step 2 — Typed REST with DTOs

from nexusx import DefineSubset, ErManager

class UserDTO(DefineSubset):
    __subset__ = (User, ("id", "name"))

class PostDTO(DefineSubset):
    __subset__ = (Post, ("id", "title", "author_id"))
    author: UserDTO | None = None  # auto-loaded — field name matches relationship

Resolver = ErManager(base=SQLModel, session_factory=async_session).create_resolver()
dtos = await Resolver().resolve(posts)

DefineSubset is GraphQL field selection in Python — declare which fields you want, get a typed DTO. Relationship fields auto-load when the name matches. Add resolve_* for custom loading, post_* for derived fields.

Step 3 — MCP + REST from business logic

from nexusx import UseCaseService, UseCaseAppConfig, create_use_case_mcp_server, create_use_case_router

class SprintService(UseCaseService):
    @query
    async def list_sprints(cls) -> list[SprintSummary]:
        """Get all sprints with task counts."""
        ...

config = UseCaseAppConfig(name="project", services=[SprintService])

# MCP for AI agents
mcp = create_use_case_mcp_server(apps=[config])
mcp.run()

# REST for frontend
app.include_router(create_use_case_router(config))

Same service class, two protocols. Methods can internally use Resolver().resolve(dtos) — the modes compose.

How It Compares

	nexusx	Strawberry	FastAPI + SQLModel	FastMCP
GraphQL auto-gen	✓	✓	—	—
REST + OpenAPI	✓	—	✓ (manual)	—
MCP	✓	—	—	✓
N+1 prevention	✓ DataLoader	manual	—	—
Relationship auto-loading	✓ implicit	manual	—	—

Demos

git clone https://github.com/allmonday/nexusx.git && cd nexusx && bash start_all.sh

Port	Mode
8000	GraphQL playground
8001	Core API (REST + DTOs)
8005	Paginated GraphQL
8006	UseCase MCP (4-layer)
8007	UseCase FastAPI (REST)
8008	Voyager visualization

AI Agent Skill

A 4-phase skill guides AI coding agents: clarify requirements → build POC → add queries → productize.

ln -s $(pwd)/skill ~/.claude/skills/nexusx-4phase

Development

./scripts/check-ci.sh       # lint + type-check + tests
uv run pytest               # tests only
uv run ruff check src/ tests/  # lint only
uv run mypy src/            # type-check only

Documentation

• API docs — per-mode guides for GraphQL, Core API, and UseCase
• Clean Architecture comparison

License

MIT