# qwen_embedding_06_mcp

> qwen_embedding_06_mcp — aurafriday-qwen-embedding-06-mcp. Use this tool when you need to generate Qwen3 embedding vectors for natural language processing tasks or machine learning models. It solves problems related to text representation and semantic understanding by providing a server-based solution for embedding vector generation. The tool takes text inputs and outputs corresponding Qwen3 embedding vectors, ideal for use cases requiring efficient and accurate text analysis.

Canonical page: https://skillsregistry.net/skills/aurafriday-qwen-embedding-06-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aurafriday-qwen-embedding-06-mcp

## Description

An MCP server for generating Qwen3 embedding vectors

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/AuraFriday/qwen_embedding_06_mcp)

## 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": "aurafriday-qwen-embedding-06-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aurafriday-qwen-embedding-06-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aurafriday-qwen-embedding-06-mcp/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