# n2-qln

> Use this tool when you need to efficiently route semantic queries to a vast array of tools through a unified interface. The n2-qln enables fast sub-5ms search and automatic fallback, solving problems of scalability and reliability in AI agent tool access. It is ideal for use cases requiring rapid and robust tool integration, with a simple MCP interface for inputs and outputs.

Canonical page: https://skillsregistry.net/skills/choihyunsus-n2-qln  
JSON: https://api.skillsregistry.net/v1/skills/choihyunsus-n2-qln

## Description

QLN is a semantic tool router that enables AI agents to access thousands of tools through a single MCP interface, with sub-5ms search and automatic fallback.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-07-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wvwla59eu9)
- **Repository:** <https://github.com/choihyunsus/n2-QLN>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "choihyunsus-n2-qln"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/choihyunsus-n2-qln` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/choihyunsus-n2-qln/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt