Baidu Qianfan MCP Server
Orchestrate Baidu Qianfan AI models — manage chat completions, embeddings, and prompt templates directly from any AI agent.
Ask AI about this MCP Server
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What is the Baidu Qianfan MCP Server?
The Baidu Qianfan MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Baidu Qianfan via 6 tools. Orchestrate Baidu Qianfan AI models — manage chat completions, embeddings, and prompt templates directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (6)
Tools for your AI Agents to operate Baidu Qianfan
Ask your AI agent "Chat with Ernie Bot 4.0 and ask 'Write a formal apology letter for a late shipment'." and get the answer without opening a single dashboard. With 6 tools connected to real Baidu Qianfan data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Baidu Qianfan MCP Server capabilities
6 toolsRequires model endpoint name. Send a message to a Baidu Qianfan model
Generate vector embeddings for text
List uploaded datasets
List available model services
List model training jobs
Generate an image from a text prompt
What the Baidu Qianfan MCP Server unlocks
Connect your AI agents to Baidu Qianfan (百度千帆), the enterprise-grade LLM platform. This MCP provides 10 tools to automate interactions with Ernie Bot and other foundation models, including chat completions, vector embeddings, and prompt engineering.
What you can do
- Model Interaction — Trigger chat completions with Ernie Bot (Turbo/Speed/4.0) using persistent context
- Vector Embeddings — Generate semantic embeddings for text to power RAG and search workflows
- Prompt Engineering — Manage and retrieve centralized prompt templates for consistent model outputs
- Image Generation — Trigger Text-to-Image tasks using Baidu's advanced diffusion models
- Usage Monitoring — Track token consumption and manage model service status programmatically
How it works
1. Subscribe to this server
2. Log in to the Baidu Qianfan Console
3. Create an application to obtain your API Key and Secret Key
4. Enable the models you wish to use (e.g., Ernie-4.0-8K)
5. Insert your credentials into the fields below to start managing your Baidu AI workflows.
Who is this for?
- AI Developers — automate the comparison of different Ernie model versions
- System Integrators — bridge enterprise applications with Baidu's high-performance Chinese LLMs
- Knowledge Managers — build robust RAG pipelines using Qianfan's embedding and chat services
Frequently asked questions about the Baidu Qianfan MCP Server
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.
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Connect Baidu Qianfan with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Baidu Qianfan MCP Server
Production-grade Baidu Qianfan MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.