# Qwen Max

> Use this tool when you need to leverage advanced natural language processing capabilities for text generation and analysis tasks. It provides a standardized interface for interacting with the Qwen Max large language model, enabling use cases such as content generation, text analysis, and conversational AI. Ideal for developers and researchers, it simplifies integration with Qwen Max's language understanding capabilities via the Dashscope API.

Canonical page: https://skillsregistry.net/skills/kamel-irzouni-qwen-max  
JSON: https://api.skillsregistry.net/v1/skills/kamel-irzouni-qwen-max

## Description

This MCP implementation, developed by Kamel IRZOUNI, provides integration with the Qwen Max large language model via the Dashscope API. Built with TypeScript and leveraging the Model Context Protocol SDK, it enables AI assistants to interact with Qwen Max's advanced natural language processing capabilities. The implementation focuses on providing a standardized interface for text generation and analysis tasks. It's particularly useful for developers and researchers who want to incorporate Qwen Max's language understanding into their applications, enabling use cases such as content generation, text analysis, and conversational AI without directly managing API calls to Dashscope.

## 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:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kamel-irzouni-qwen-max)
- **Repository:** <https://github.com/kamelirzouni/mcp-server-qwen_max>

## 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": "kamel-irzouni-qwen-max"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kamel-irzouni-qwen-max` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kamel-irzouni-qwen-max/pull`

---
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