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Description from the maker (original English)
Alibaba Cloud DashScope MCP: Qwen chat, embeddings, and model discovery on your own account.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
DASHSCOPE_API_KEY, DASHSCOPE_MODEL_ID, DASHSCOPE_EMBED_MODEL_ID, DASHSCOPE_BASE_URL, DASHSCOPE_REGIONValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"alibaba-cloud": {
"command": "npx",
"args": [
"-y",
"@three-ws/alibaba-cloud-mcp"
],
"env": {
"DASHSCOPE_API_KEY": "your-value",
"DASHSCOPE_MODEL_ID": "your-value",
"DASHSCOPE_EMBED_MODEL_ID": "your-value",
"DASHSCOPE_BASE_URL": "your-value",
"DASHSCOPE_REGION": "your-value"
}
}
}
}Run this in your terminal
claude mcp add alibaba-cloud --env DASHSCOPE_API_KEY=your-value --env DASHSCOPE_MODEL_ID=your-value --env DASHSCOPE_EMBED_MODEL_ID=your-value --env DASHSCOPE_BASE_URL=your-value --env DASHSCOPE_REGION=your-value -- npx -y @three-ws/alibaba-cloud-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"alibaba-cloud": {
"command": "npx",
"args": [
"-y",
"@three-ws/alibaba-cloud-mcp"
],
"env": {
"DASHSCOPE_API_KEY": "your-value",
"DASHSCOPE_MODEL_ID": "your-value",
"DASHSCOPE_EMBED_MODEL_ID": "your-value",
"DASHSCOPE_BASE_URL": "your-value",
"DASHSCOPE_REGION": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"alibaba-cloud": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@three-ws/alibaba-cloud-mcp"
],
"env": {
"DASHSCOPE_API_KEY": "your-value",
"DASHSCOPE_MODEL_ID": "your-value",
"DASHSCOPE_EMBED_MODEL_ID": "your-value",
"DASHSCOPE_BASE_URL": "your-value",
"DASHSCOPE_REGION": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
DASHSCOPE_MODEL_ID envDASHSCOPE_EMBED_MODEL_ID envDASHSCOPE_BASE_URL envDASHSCOPE_REGION envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account nirholas, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: DASHSCOPE_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 26 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Vexa, emailmd, MCP WhatsApp Cloud
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@three-ws/alibaba-cloud-mcp
MCP server for Alibaba Cloud DashScope, Qwen chat, embeddings, and model discovery on your own account.
Install · Quick start · Tools · Models · three.ws
A Model Context Protocol server that exposes Alibaba Cloud's Qwen models, and anything else in your DashScope account, to MCP clients such as Claude Desktop, Claude Code, and Cursor. It talks directly to the DashScope OpenAI-compatible REST API with your own Alibaba Cloud API key: no intermediary backend, no telemetry, no mock data.
Community-built and not affiliated with Alibaba Cloud. Registry name:
io.github.nirholas/alibaba-cloud.
npm install @three-ws/alibaba-cloud-mcp
Run it directly with npx (no install needed):
DASHSCOPE_API_KEY=sk-... npx @three-ws/alibaba-cloud-mcp
With Claude Code, one command:
claude mcp add alibaba-cloud -e DASHSCOPE_API_KEY=sk-... -- npx -y @three-ws/alibaba-cloud-mcp
Or add the server to your MCP client config:
{
"mcpServers": { "alibaba-cloud": { "command": "npx", "args": ["-y", "@three-ws/alibaba-cloud-mcp"], "env": { "DASHSCOPE_API_KEY": "sk-..." } } } }
| Tool | Description |
|---|---|
qwen_chat | Chat completion with any Qwen model (qwen-max, qwen-plus, qwen-turbo, qwen-long) |
qwen_embed | Text embeddings via text-embedding-v3 (1024-dim default, up to 2048) |
qwen_list_models | List all models available on this DashScope account |
| Model ID | Use |
|---|---|
qwen-max | Highest quality: complex reasoning, long documents |
qwen-plus | Balanced performance (default) |
qwen-turbo | Fastest and cheapest: simple tasks |
qwen-long | Long context (up to 1M tokens) |
text-embedding-v3 | Embeddings, semantic search, RAG (default) |
| Variable | Required | Default | Description |
|---|---|---|---|
DASHSCOPE_API_KEY | yes | - | Your DashScope API key |
DASHSCOPE_MODEL_ID | no | qwen-plus | Default chat model |
DASHSCOPE_EMBED_MODEL_ID | no | text-embedding-v3 | Default embedding model |
DASHSCOPE_BASE_URL | no | International endpoint | Custom DashScope endpoint |
DASHSCOPE_REGION | no | - | Set to cn for the China endpoint |
DASHSCOPE_TIMEOUT_MS | no | 60000 | Request timeout in ms |
npx -y @modelcontextprotocol/inspector npx @three-ws/alibaba-cloud-mcp
The package entry point (@three-ws/alibaba-cloud-mcp) exports `buildServer()`: a fully-registered McpServer with no transport attached, so you can mount the three tools inside a host of your own instead of spawning the binary. It reads DASHSCOPE_API_KEY when called, and registration is otherwise side-effect free. The DashScope client itself is importable from @three-ws/alibaba-cloud-mcp/src/dashscope.js (loadConfig, DashScopeClient, DashScopeError) when you want the REST wrapper without MCP.
// example.mjs: run with: DASHSCOPE_API_KEY=sk-... node example.mjs
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'; import { buildServer } from '@three-ws/alibaba-cloud-mcp';
const server = buildServer();
// What this server exposes, before connecting anything. for (const [name, tool] of Object.entries(server._registeredTools)) { console.log(${name}: ${tool.title}); }
// Serve it over stdio (what the bin does), or attach any other MCP transport. await server.connect(new StdioServerTransport());
qwen_chat: Qwen Chat qwen_embed: Qwen Text Embeddings qwen_list_models: List DashScope Models
Built by three.ws · three.ws/blog/three-ws-alibaba-cloud-partnership