n2-QLN

by choihyunsus · MCP Server · ★ 27

About n2-QLN

🇰🇷 한국어 n2-qln QLN = Query Layer Network — a semantic tool router that sits between the AI and your tools. Route 1,000+ tools through 1 MCP tool. The AI sees only the router — not all 1,000 tools. Table of Contents Why QLN What's New in v4.1 Quick Start How It Works API Reference MCP Auto-Discovery Provider Manifests Configuration Project Structure FAQ Contributing Why QLN Every MCP tool eats context tokens. 10 tools? Fine. 100? Slow. 1,000? Impossible — context is full before the conversation starts.

ai-agent-orchestrationefficiencyllm-gatewaymcpsemantic-searchsqlite-vsstool-routing

Quick Facts

Stars27
Forks3
LanguageTypeScript
CategoryMCP Server
Quality Score76.7728001594068/100
Last Updated2026-04-02
Created2026-03-20
Platformsmcp, node
Est. Tokens~58k

Compatible Skills

These tools work well together with n2-QLN for enhanced workflows:

  • Routerly — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • ClawRoute — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is n2-QLN?

n2-QLN is n2-QLN: Intelligent Tool Router & Semantic Search Layer for MCP. Connect 1,000+ tools through 1 interface. Prevent AI model confusion and maximize context window efficiency. It is categorized as a MCP Server with 27 GitHub stars.

What programming language is n2-QLN written in?

n2-QLN is primarily written in TypeScript. It covers topics such as ai-agent-orchestration, efficiency, llm-gateway.

How do I install or use n2-QLN?

You can find installation instructions and usage details in the n2-QLN GitHub repository at github.com/choihyunsus/n2-QLN. The project has 27 stars and 3 forks, indicating an active community.

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