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Baidu Qianfan MCP, Ready to Go

Connect Claude or Cursor to Baidu Qianfan to run Ernie Bot, generate embeddings, and build RAG pipelines with this MCP.

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No credit card required. Experience the power of this integration risk-free.

Connect to Chinese LLMs for enterprise RAG and text generation.

Baidu Qianfan MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Baidu Qianfan MCP Server?

808ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 689ms
Average 808ms
Max 1533ms
Trend (improving) ↓ 23%
Daily latency
1533ms 7/7/2026
842ms 7/8/2026
841ms 7/9/2026
764ms 7/10/2026
871ms 7/11/2026
1093ms 7/12/2026
824ms 7/13/2026
724ms 7/14/2026
772ms 7/15/2026
813ms 7/16/2026
723ms 7/17/2026
689ms 7/18/2026
696ms 7/19/2026
761ms 7/20/2026
7/7/2026 7/20/2026

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AI Agent

What AI agents can do with Baidu Qianfan MCP: 6 Tools for Chinese LLM Workflows

Use these tools to run Ernie Bot, generate embeddings, manage templates, and create images.

Get embeddings

Create vector embeddings for text to power your search index. This helps make your RAG system much more accurate.

List train jobs

Show a list of your current model training jobs. Use this to keep track of your ongoing training tasks.

Chat completions

Send a message to a Baidu Qianfan model and get a response. It is the primary way to interact with Ernie Bot.

List datasets

List the datasets you've uploaded to the platform. Use this to manage the data sources for your AI workflows.

List models

List the available model services you can use right now. This helps you see which Ernie versions are active.

Text to image

Turn a text prompt into a generated image. Use this to create visual assets directly through your agent.

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Baidu Qianfan MCP for Chinese Language LLM Integration

This is for developers and knowledge managers who need to integrate high-performance Chinese LLMs into their production workflows without building custom API wrappers.

AI Developer

You use this to compare different Ernie model versions and test their performance on specific Chinese language tasks.

System Integrator

You use this to bridge enterprise applications with Baidu's infrastructure to provide localized AI services.

Knowledge Manager

You use this to build RAG pipelines that turn internal company documents into searchable vector databases.

Frequently Asked Questions

What is the Baidu Qianfan MCP used for? +

It connects your AI agent to Baidu's enterprise LLM platform. You can use it to run Ernie Bot, generate vector embeddings for search, and create images from text prompts.

Can I use Baidu Qianfan MCP for RAG systems? +

Yes, it's perfect for RAG. You can use it to generate high-quality embeddings for your internal data, making it much easier to build a searchable knowledge base.

Does the Baidu Qianfan MCP support image generation? +

Yes, it includes tools to trigger text-to-image tasks. This allows your agent to create visual content based on your descriptions.

How do I get my API keys for the Baidu Qianfan MCP? +

You can get your credentials by logging into the Baidu Qianfan Console and creating a new application. Once you have your keys, you can plug them directly into the MCP.

Can I manage my prompts using the Baidu Qianfan MCP? +

Yes, you can manage and retrieve centralized prompt templates. This helps you keep your agent's instructions consistent across different tasks.

Is Baidu Qianfan MCP good for Chinese language tasks? +

It is specifically designed for that. It gives you direct access to Ernie Bot, which is one of the most capable models for Chinese language understanding and generation.

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.

Can I automatically generate embeddings for RAG? +

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

How do I use prompt templates from the console? +

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

Your AI, connected to everything.

No credit card required · Free tier available

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