Warning: May eliminate your entire backend team

KILL YOUR
BOILERPLATE.

You've been writing the same CRUD endpoints for a decade. Upjack ends that. Describe your domain in JSON Schema + Markdown. Get a full MCP server with validation, search, and storage. Automatically.

Get Jacked View Source
847
Lines Killed
per entity
6
Tools Generated
per entity
0
Lines of Code
required
3
Files Total
schema + skill + manifest
CASUALTY REPORT

THINGS UPJACK KILLED

CRUD Endpoints
Auto-generated MCP tools
6 tools per entity. Create, read, update, delete, list, search. You write nothing.
Validation Logic
JSON Schema enforcement
Define constraints once in your schema. Invalid data never hits storage. Ever.
Database Setup
Git-backed JSON storage
Every entity is a file. Every change is a commit. No database to manage.
Search Implementation
Built-in full-text search
Search across all fields with filters. Works the second your schema exists.
Business Logic Code
Markdown skills
Write your expertise in plain English. The AI reads it and acts on it. No functions required.
API Documentation
MCP protocol + resources
Tools are self-describing. Skills are exposed as resources. Documentation writes itself.

BEFORE AND AFTER UPJACK

The old way — contacts.py 847
class ContactSerializer(serializers.ModelSerializer): class Meta: model = Contact fields = ['id', 'name', 'email', 'company', 'phone', 'status', 'score', 'notes'] read_only_fields = ['id', 'created_at'] def validate_email(self, value): if Contact.objects.filter(email=value).exists(): raise serializers.ValidationError( "Contact with this email already exists" ) return value def validate_score(self, value): if value < 0 or value > 100: raise serializers.ValidationError( "Score must be between 0 and 100" ) return value class ContactViewSet(viewsets.ModelViewSet): queryset = Contact.objects.all() serializer_class = ContactSerializer permission_classes = [IsAuthenticated] filter_backends = [SearchFilter, OrderFilter] def perform_create(self, serializer): serializer.save(owner=self.request.user) @action(detail=True, methods=['post']) def qualify(self, request, pk=None): contact = self.get_object() // ... 400 more lines of qualification, // scoring, validation, error handling, // serialization, permissions, tests ...
Upjack — contact.schema.json 22
{ "$schema": "...draft/2020-12/schema", "title": "Contact", "type": "object", "properties": { "name": { "type": "string" }, "email": { "type": "string", "format": "email" }, "company": { "type": "string" }, "status": { "enum": ["prospect", "qualified", "customer"] }, "score": { "type": "integer", "minimum": 0, "maximum": 100 } }, "required": ["name", "email"] } // Done. You're jacked.

Convinced? Three files. Zero boilerplate. Ship before standup.

Get Jacked Read The Docs
DOSAGE

HOW IT HITS

01

DESCRIBE YOUR DATA

JSON Schema. Fields, types, constraints. The structure your business already thinks in. No ORM. No migrations. Just the truth.

contact.schema.json
02

ENCODE YOUR EXPERTISE

Write your domain knowledge in Markdown. Scoring rubrics. Decision trees. Procedures. Your brain, in a file the AI can read.

qualify-lead.md
03

INJECT IT

One function call. Full MCP server. Entity management, validation, search, storage — all generated. Zero boilerplate. Zero excuses.

create_server("manifest.json")
"I SPENT 10 YEARS WRITING CRUD.
THEN I WROTE THREE FILES
AND WENT HOME EARLY."

Upjack is for people who are done pretending that writing the same serializer for the 10,000th time is "engineering."

GET
JACKED.

Install it. Describe your domain. Ship before standup.

pip install upjack
Quick Start Read The Docs