upjack
Schema-driven entity management for AI-native applications.
Define entities as JSON Schemas + a manifest. The library handles CRUD, validation, ID generation, storage, and search. Add FastMCP to serve it as an MCP server.
Install
pip install upjack # core library (entity management only)
pip install "upjack[mcp]" # with MCP server support
Requires Python 3.13+.
Usage: Entity Management
from upjack import UpjackApp
app = UpjackApp.from_manifest("manifest.json")
# Create an entity
contact = app.create_entity("contact", {
"first_name": "Sarah",
"last_name": "Chen",
"email": "sarah@example.com",
})
# List entities
contacts = app.list_entities("contact")
# Update an entity
app.update_entity("contact", contact["id"], {"lead_score": 85})
# Get a single entity
contact = app.get_entity("contact", contact["id"])
# Delete an entity (soft delete by default)
app.delete_entity("contact", contact["id"])
Usage: MCP Server
from upjack.server import create_server
mcp = create_server("manifest.json", root="./workspace")
mcp.run()
This generates CRUD tools for every entity type in the manifest, exposes context and skills as MCP resources, and handles validation automatically. See examples/crm/server.py for a complete example.
Requirements
- Python >= 3.13
- FastMCP >= 3.0 (only for
upjack[mcp])
1 maintainer
Metadata
1 maintainer
Release files for upjack 0.5.2
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