Qwen Max
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/kamelirzouni/mcp-server-qwen_max
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Qwen Max from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.