Integration

Alibaba Cloud Model Studio integration

Alibaba Cloud Model Studio (DashScope) OpenAI-compatible endpoint on the Singapore region host. Run Qwen text, vision and translation models through chat completions, build text embeddings, drive the stateful Responses API, and submit offline batch jobs by uploading a JSONL request file and polling the resulting batch. The compatible-mode surface deliberately covers only these areas: image generation, speech recognition and reranking live on the separate DashScope-native API and are not reachable here.

Connect Alibaba Cloud Model Studio How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Alibaba Cloud Model Studio.Built from the 12 Alibaba Cloud Model Studio tools below, on the connection you add once.

Common Alibaba Cloud Model Studio use cases

summarising a document with a Qwen model
checking which batch jobs are still running
finding the result file of a completed batch job
collecting the answers produced by an overnight batch job
embedding documents before storing them in a vector database
stopping a batch job that was submitted with the wrong prompt
checking the size of a batch result file before downloading it
submitting thousands of prompts for cheap overnight processing
waiting for a batch job to finish before collecting its results
classifying a large backlog of records overnight at the batch price

What you can do with Alibaba Cloud Model Studio

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

File, 5 operations

delete_fileDelete fileDELETEDeletes a stored file.
get_fileGet fileGETRetrieves file metadata by identifier.
get_file_contentGet file contentGETDownloads a file's contents as a stored file.
list_filesList filesGETLists uploaded batch files.
upload_fileUpload filePOSTUploads a JSONL file for batch inference.

Batch, 4 operations

cancel_batchCancel batchPOSTCancels a running batch job.
create_batchCreate batchPOSTStarts a batch inference job over an uploaded request file.
get_batchGet batchGETRetrieves a batch job's current status and result files.
list_batchesList batchesGETLists batch inference jobs.

Chat completion, 1 operation

create_chat_completionCreate chat completionPOSTGenerates a model reply from a list of chat messages.

Embedding, 1 operation

create_embeddingCreate embeddingPOSTCreates embedding vectors for one or more texts.

Response, 1 operation

create_responseCreate responsePOSTGenerates a response using the Responses API shape.

Use Alibaba Cloud Model Studio from Claude Code, Cursor or Codex

Connect Alibaba Cloud Model Studio in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Alibaba Cloud Model Studio operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Alibaba Cloud Model Studio

Create your workspace
Sign up free. Nothing to install.
Connect Alibaba Cloud Model Studio once
Add your Alibaba Cloud Model Studio connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Alibaba Cloud Model Studio integration FAQ

What can you do with the Alibaba Cloud Model Studio integration?

LiveContext exposes 12 operations on Alibaba Cloud Model Studio, covering file, batch, chat completion and embedding. Common uses include summarising a document with a Qwen model, checking which batch jobs are still running and finding the result file of a completed batch job.