Lingyi Wanwu MCP Server for Mastra AI 5 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Lingyi Wanwu through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"lingyi-wanwu": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Lingyi Wanwu Agent",
instructions:
"You help users interact with Lingyi Wanwu " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Lingyi Wanwu?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Lingyi Wanwu tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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
The Lingyi Wanwu MCP Server exposes 5 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Lingyi Wanwu to Mastra AI via MCP
Follow these steps to integrate the Lingyi Wanwu MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 5 tools from Lingyi Wanwu via MCP
Why Use Mastra AI with the Lingyi Wanwu MCP Server
Mastra AI provides unique advantages when paired with Lingyi Wanwu through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Lingyi Wanwu without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Lingyi Wanwu tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Lingyi Wanwu + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Lingyi Wanwu MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Lingyi Wanwu, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Lingyi Wanwu as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Lingyi Wanwu on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Lingyi Wanwu tools alongside other MCP servers
Lingyi Wanwu MCP Tools for Mastra AI (5)
These 5 tools become available when you connect Lingyi Wanwu to Mastra AI via MCP:
chat_completions
Send a message to a Yi model
check_moderation
Check content for policy violations
get_embeddings
Generate text embeddings
get_usage
Retrieve account usage statistics
list_models
List available Yi models
Example Prompts for Lingyi Wanwu in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Lingyi Wanwu immediately.
"Chat with the Yi-Large model and ask 'Explain the impact of AI on the future of work'."
"Generate embeddings for my company's mission statement."
"Check my current account balance in Lingyi Wanwu."
Troubleshooting Lingyi Wanwu MCP Server with Mastra AI
Common issues when connecting Lingyi Wanwu to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLingyi Wanwu + Mastra AI FAQ
Common questions about integrating Lingyi Wanwu MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Lingyi Wanwu 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.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lingyi Wanwu to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.