nduckmink/arkon

MCPcommunity
nduckminkNOASSERTIONUpdated 1mo agoGitHub

Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (MCP) for automated, secure organizational knowledge integration.

Arkon is a self-hosted, enterprise-grade knowledge management layer that bridges organizational data and AI clients. It runs as a centralized MCP Server (Model Context Protocol), compiling your SOPs, policies, and internal docs into a structured, traceable knowledge wiki - then serving that wiki to Claude and other LLMs through a single permission-scoped endpoint. In most organizations, AI…

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982GitHub stars
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1mo agoLast update
Package
Authornduckmink
LicenseNOASSERTION
Sourcegithub
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · not run+0/30
Not yet scanned — package must be on npm
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedMay 24, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Arkon is a self-hosted, enterprise-grade knowledge management layer that bridges organizational data and AI clients. It runs as a centralized MCP Server (Model Context Protocol), compiling your SOPs, policies, and internal docs into a structured, traceable knowledge wiki - then serving that wiki to Claude and other LLMs through a single permission-scoped endpoint. In most organizations, AI adoption is fragmented. Employees copy-paste documents into chatbots, producing inconsistent context,…

Keywords
enterprise-aiknowledge-base-embeddingsknowledge-based-systemsknowledge-basesllm-wiki-personal-knowledge-basemcpmcp-servermodel-context-protocolorganizational-knowledgeragself-hostedwiki