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Use DashScope to access Qwen chat, embeddings, and model discovery.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Alibaba Cloud DashScope — Qwen" MCP server from askskill: Run: claude mcp add 'io-github-nirholas-alibaba-cloud' -- npx -y @three-ws/alibaba-cloud-mcp
Show me how to call a Qwen chat model through Alibaba Cloud DashScope MCP, provide a minimal working example, and explain the key parameters.
A runnable example showing the request flow, parameter explanations, and basic debugging tips.
Using DashScope embeddings, explain how to convert a batch of product titles into vectors for similarity search, and suggest a processing workflow.
An embedding workflow with batching steps and implementation suggestions for similarity search.
Explain how to list models available in my account through Alibaba Cloud DashScope MCP, and how to choose the right one for chat or embeddings.
Instructions for model discovery and concise guidance on choosing models by task type.
Discover and compare paid agent services and pricing on x402.
Analyze crypto smart-money scores, wallet reputation, signals, and KOL rankings.
Embed interactive live 3D avatars in agents or generate shareable embeds.
Read tutoring session tabs and close them for verified invoicing.
Create 3D avatars, embeds, and manage agent memory and on-chain identity.
Render 3D agent avatars with voice, Solana wallet, and token features.
Create Qwen 2 tasks, track status, and check pricing details.
Connect multi-cloud AI models to CLI agents with streaming and parallel queries.
Analyze, summarize, and understand video content with Alibaba Cloud DashScope.
Ask document knowledge bases via MCP and manage conversation history.
Discover live models and pricing to route tasks to compatible low-cost LLMs.
Unify multiple LLM providers, routing, and model collaboration in one local gateway.