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mykg

Skill Documents & Content Usable
Works inClaude Code
Usable Scanned — metadata only

Converts unstructured documentation into queryable knowledge graphs, enabling teams to surface hidden relationships, enforce consistency, and automate downst…

myKG generates a confidence-scored knowledge graph from mixed documents — Markdown, plain text, PDF, Word, PowerPoint, Excel, HTML, and images — grounded in an induced RDFS/OWL ontology. Works with Anthropic, OpenAI, OpenRouter, or local Ollama models, and ships both an MCP server and a Claude Code skill mode so extractions can run inside a Claude session. Exports include an interactive HTML graph, Obsidian vault, and Neo4j LOAD CSV.

65 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Converts unstructured documentation into queryable knowledge graphs, enabling teams to surface hidden relationships, enforce consistency, and automate downstream compliance or architecture reviews without manual curation.

Technical documentation teams and knowledge managers standardizing ontologies across large codebases or regulatory documents.

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https://github.com/SenolIsci/mykg

By SenolIsci

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
pip install mykg && mykg init

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me extract structured relationships from markdown documentation into a queryable knowledge graph
PrerequisitesPython 3.11+; one of: Anthropic/OpenAI/OpenRouter API key, local Ollama, or the claude CLICostFree

Trust Signals Auto-scanned

Stars65Contributors3Last updated2026-07-31LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner vattempted-no-data

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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