Bring Ernie Bot
to LangChain
Create your Vinkius account to connect Baidu Qianfan to LangChain and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Baidu Qianfan MCP Server?
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
- Subscribe to this server
- Log in to the Baidu Qianfan Console
- Create an application to obtain your API Key and Secret Key
- Enable the models you wish to use (e.g., Ernie-4.0-8K)
- 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
Built-in capabilities (6)
Requires 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
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Baidu Qianfan through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Baidu Qianfan MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Baidu Qianfan queries for multi-turn workflows
Baidu Qianfan in LangChain
Why run Baidu Qianfan with Vinkius?
The Baidu Qianfan connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Baidu Qianfan using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Baidu Qianfan and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Baidu Qianfan to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Baidu Qianfan for LangChain
Every request between LangChain and Baidu Qianfan is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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