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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.
Track trending agents, coins, holder rankings, and site-wide activity updates.
Chat, generate text, create embeddings, and tokenize with IBM watsonx.ai Granite.
Use IBM Granite pay-per-call for chat, code, embeddings, analysis, and forecasting.
Embed interactive live 3D avatars in agents or generate shareable embeds.
Equip AI agents with an x402 wallet to buy or sell services.
Create 3D avatars, embeds, and manage agent memory and on-chain identity.
Create Qwen 2 tasks, track status, and check pricing details.
Connect multi-cloud AI models to CLI agents with streaming and parallel queries.
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.
Query many AI models for research, comparison, and image generation.
Enable AI to securely access and manage Yuque knowledge bases.