Lingyi Wanwu MCP Server for Cursor 5 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Lingyi Wanwu and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"lingyi-wanwu": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Lingyi Wanwu into an in-editor superpower. Ask Cursor to generate code using live data from Lingyi Wanwu and it fetches, processes, and writes. all in a single agentic loop. 5 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Lingyi Wanwu MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Lingyi Wanwu
Open Agent mode in chat and ask: "Using Lingyi Wanwu, help me...". 5 tools available
Why Use Cursor with the Lingyi Wanwu MCP Server
Cursor AI Code Editor provides unique advantages when paired with Lingyi Wanwu through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Lingyi Wanwu + Cursor Use Cases
Practical scenarios where Cursor combined with the Lingyi Wanwu MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Lingyi Wanwu MCP Tools for Cursor (5)
These 5 tools become available when you connect Lingyi Wanwu to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Lingyi Wanwu to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Lingyi Wanwu + Cursor FAQ
Common questions about integrating Lingyi Wanwu MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.