Mykg
MyKG Knowledge Graph Engine: Turn raw files into knowledge graphs with induced ontology
- Transport
- Not stated
- Package
- —
- Registry id
- —
No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
myKG automatically generates a confidence-scored knowledge graph from a set of mixed documents — Markdown, plain text, PDF, Word, PowerPoint, Excel, HTML, and images — grounded in an induced RDFS/OWL ontology.
Contents
- Features
- Quick Start
- Command line
- Articles & Tutorials
- Configuration
- Troubleshooting
- Extract Pipeline
- Outputs
- Advanced Options
- MCP (Model Context Protocol) Server
- Using mykg with Claude Code
- Roadmap
- Development
- Design
- License
Features
MyKG builds trustworthy knowledge graphs through a self-evolving ontology that continuously adapts, maintains consistency, and assigns confidence scores to knowledge, keeping information grounded and reliable as it grows.
Ontology-Guided Extraction
- Schema-guided knowledge graph generation — the extracted graph is always grounded in a formal RDFS/OWL schema: concept types, property names, domain/range constraints, and the is-a hierarchy are explicit and inspectable before any entity is extracted
From the project's README.