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Connect Baidu Qianfan to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Build advanced AI applications with powerful Chinese models.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Baidu Qianfan.

  1. 01

    Chat completions

    Send a message to a Baidu Qianfan model to get a direct response.

  2. 02

    Get embeddings

    Generate vector embeddings for any given text input.

  3. 03

    List models

    See a list of all available model services you can connect to.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Baidu Qianfan.

  1. 04

    List train jobs

    Check the status and history of your model training jobs.

  2. 05

    Text to image

    Generate a new image using a descriptive text prompt.

  3. 06

    List datasets

    Retrieve a list of all datasets you have uploaded to the platform.

Real work

What teams actually run

01

Building a Q&A Bot

Use the get_embeddings capability to index your company documents, then use the chat completions capability to query that index for accurate answers.

02

Content Generation Pipeline

First, use the chat completions capability to draft an article outline, then use the text_to_image capability to create accompanying header images.

03

Data Validation and Indexing

Use the list_datasets capability to verify the correct data source, then use the get_embeddings capability to ensure all text is properly vectorized.

04

Model Comparison

Run the chat completions capability multiple times with different model endpoints to compare performance and cost.

Automate a task

Put Baidu Qianfan to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Baidu Qianfan works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Baidu Qianfan to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

877ms average. Fast in production.

Baidu Qianfan is checked daily against the live service.

Daily averagePeak 1265ms
Oct 3Today
Fastest day
659ms
Slowest day
1265ms
14-day trend
Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Baidu Qianfan, so you can see the experience inside your AI.

It does not authenticate your account with Baidu Qianfan. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Baidu Qianfan Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_nSPMSdk1YEMCwy7aSAehImUREP7520Z8lSHvuSUL/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Baidu Qianfan capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "baidu-qianfan-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nSPMSdk1YEMCwy7aSAehImUREP7520Z8lSHvuSUL/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Baidu Qianfan in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Baidu Qianfan owners hand off.

This MCP is built for technical teams that need to integrate large language models into enterprise systems. If your job involves building complex data pipelines, managing knowledge bases, or developing applications that require high-performance LLM access, this is for you. It gives you direct control over the model lifecycle.

  • 01

    AI Developers

    Automate comparisons between different Ernie model versions and build multi-stage AI workflows.

  • 02

    System Integrators

    Bridge existing enterprise applications with Baidu's high-performance Chinese LLMs.

  • 03

    Knowledge Managers

    Build robust RAG pipelines by using the embedding and chat services to query internal documents.

FAQ

Questions Baidu Qianfan owners ask.

  • 01

    Is this MCP only for Chinese language models?

    No. While it connects to Baidu Qianfan, which is an enterprise-grade Chinese LLM platform, it provides capabilities for managing multiple model interactions and services.

  • 02

    What is the difference between chat completions and embeddings?

    Chat completions is for conversational dialogue, where you send a message and get a response. Embeddings, generated by the get_embeddings capability, are numerical vectors used to represent text for search and indexing.

  • 03

    Do I need to worry about API keys?

    Yes. You must create an application in the Baidu Qianfan Console to obtain your API Key and Secret Key, which you then provide to the MCP.

  • 04

    Can I use this for image generation?

    Yes. The text_to_image capability lets you generate visual content by simply providing a descriptive text prompt.

  • 05

    What if I want to check my usage?

    You can programmatically track token consumption and manage model service status using the available capabilities.

  • 06

    Which version of Ernie Bot should I use for chat?

    For high performance and reasoning, use ernie-4.0-8k. For faster response times and cost efficiency, ernie-speed-128k or ernie-lite-8k are excellent choices.

  • 07

    Can I automatically generate embeddings for RAG?

    Yes! Use the get_embeddings capability with your text input. The agent will retrieve the vector representations from Baidu's embedding models, ready for indexing in your vector database.

  • 08

    How do I use prompt templates from the console?

    Use the list_prompt_templates capability to find your configured templates. You can then retrieve specific details using get_prompt_template to maintain consistency across your AI workflows.

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