Bring Yi Models
to Vercel AI SDK
Create your Vinkius account to connect Lingyi Wanwu to Vercel AI SDK and start using all 5 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 Lingyi Wanwu MCP Server?
Connect your AI agents to Lingyi Wanwu (01.AI), the high-performance AI lab founded by Dr. Kai-Fu Lee. This MCP provides 10 tools to automate interactions with the Yi series of large language models, including state-of-the-art chat completions, semantic embeddings, and account usage monitoring.
What you can do
- Yi Model Interaction — Trigger chat completions with Yi-34B, Yi-Large, and other optimized models using persistent context
- Vector Embeddings — Generate high-dimensional semantic embeddings to power advanced RAG and search workflows
- Model Intelligence — List all available models and retrieve granular technical specifications for each version
- Account Management — Monitor your token consumption and balance programmatically to optimize costs
How it works
- Subscribe to this server
- Log in to the Lingyi Wanwu Developer Platform
- Navigate to API Keys and generate a new key
- Identify the model you wish to use (e.g.,
yi-largeoryi-34b-chat-0205) - Insert your API Key into the field below to start managing your Yi model workflows.
Who is this for?
- AI Developers — automate the integration of high-performance bilingual (EN/CN) models into custom apps
- Knowledge Engineers — build RAG pipelines using Lingyi Wanwu's optimized embedding services
- System Integrators — bridge enterprise platforms with the efficient and powerful Yi foundation models
Built-in capabilities (5)
Send a message to a Yi model
Check content for policy violations
Generate text embeddings
Retrieve account usage statistics
List available Yi models
Why Vercel AI SDK?
The Vercel AI SDK gives every Lingyi Wanwu tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Lingyi Wanwu integration everywhere
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Built-in streaming UI primitives let you display Lingyi Wanwu tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Lingyi Wanwu in Vercel AI SDK
Why run Lingyi Wanwu with Vinkius?
The Lingyi Wanwu 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 5 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 Lingyi Wanwu using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lingyi Wanwu and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lingyi Wanwu to Vercel AI SDK 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
Lingyi Wanwu for Vercel AI SDK
Every request between Vercel AI SDK and Lingyi Wanwu 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 Yi model is best for complex reasoning?
For complex reasoning and high-quality outputs, yi-large is recommended. For faster response times and cost efficiency, yi-medium or yi-spark are excellent alternatives.
Can I automatically retrieve my remaining account balance?
Yes! Use the get_balance tool. Your agent will connect to the Lingyi Wanwu billing service and return your current remaining credits.
How do I list all the technical specs for the Yi models?
Use the list_models tool. Your agent will retrieve a list of all models currently available on the platform, along with their IDs and capabilities.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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