# qrouter

> Use this tool when you need to retrieve semantically relevant text passages from a large corpus, and rank them by relevance to a given query or context. qrouter solves problems in natural language processing and information retrieval by leveraging quantum computing and tensor diagrams to improve search accuracy. It takes in text queries and passages as input and outputs ranked lists of relevant passages, making it ideal for applications where precise semantic search is crucial.

Canonical page: https://skillsregistry.net/skills/luuow-qrouter  
JSON: https://api.skillsregistry.net/v1/skills/luuow-qrouter

## Description

Quantum natural-language retrieval MCP server that ranks text passages by semantic relevance using DisCoCat tensor diagrams compiled to variational circuits.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ik009vgpx0)
- **Repository:** <https://github.com/LuuOW/qrouter>

## 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": "luuow-qrouter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luuow-qrouter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luuow-qrouter/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