How to Use the Baidu Qianfan MCP in Claude

Q: Can Claude Desktop generate images using Baidu Qianfan?

Yes, through the texttoimage tool. You type a prompt into the chat, and the agent sends it to the API to render the result inline.

Connect Baidu Qianfan to Claude Desktop via this MCP Server to run completions and check training jobs from your chat.

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Connect Baidu Qianfan MCP to Claude Desktop

Create your Vinkius account to connect Baidu Qianfan to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Baidu Qianfan with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run Baidu Models Through Your MCP Server

The `chat_completions` tool routes your prompts straight to Baidu's language models. Claude handles the context, while the server executes the external call. You specify the exact endpoint name, and the text comes right back into your chat window. Need visuals? The `text_to_image` tool takes a text prompt and returns generated graphics. You skip the web console entirely and get your images rendered directly in the conversational interface.

Track Training Jobs Without Context Switching

The `list_train_jobs` tool pulls the current status of your model fine-tuning runs. You ask Claude how your custom model is doing, and it fetches the exact progress metrics without making you log into a dashboard. Managing your data works the same way. Calling `list_datasets` retrieves the files you already uploaded to the provider. You know exactly what data is available before kicking off a new training cycle.

Generate Embeddings and Verify Endpoints

The `get_embeddings` tool transforms raw text into vector arrays. Your AI client can use this to prep data for your retrieval systems without needing a separate Python script to handle the API calls. Keeping track of what is actually deployed happens through `list_models`. Your agent checks which service endpoints are active so you never hit a dead route when building your integrations.

Setup guide

Set up Baidu Qianfan MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Baidu Qianfan MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Baidu Qianfan MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under baidu-qianfan-mcp.

json

{
  "mcpServers": {
    "baidu-qianfan-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Baidu Qianfan. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Baidu Qianfan now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Baidu Qianfan MCP in Claude Desktop

Open the Claude Desktop app and navigate to Developer settings. Add the Vinkius MCP Server URL to your claude_desktop_config.json file. Restart the application to load the tools.

Yes, through the text_to_image tool. You type a prompt into the chat, and the agent sends it to the API to render the result inline.

You can paste the Vinkius URL into the Custom Connectors section under Integrations. This works on any device without installing local software.

Check your Vinkius authentication token. If the connection drops, the list_train_jobs tool cannot fetch the status of your fine-tuning runs.

Everything runs inside a V8 Isolate Sandbox. Your chat completions and dataset names exist only in memory during execution. The system destroys the environment immediately after returning the API response.

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