Bring Gpu Cloud
to Cursor
Create your Vinkius account to connect Lambda Labs (GPU Cloud) to Cursor and start using all 7 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 Lambda Labs (GPU Cloud) MCP Server?
Connect your Lambda Labs account to any AI agent and take full control of your AI infrastructure and high-performance GPU orchestration through natural conversation.
What you can do
- Instance Orchestration — Launch state-of-the-art GPU virtual machines (e.g., H100, A100) and manage their entire lifecycle directly from your agent
- ML Infrastructure Audit — List running instances and retrieve detailed hardware specifications, public IPv4 addresses, and Jupyter Lab access tokens securely
- Inventory & Pricing — Discover available GPU node types and pricing matrices across different regions to optimize your AI training and inference budget
- SSH Key Management — Enumerate globally managed public keys to ensure zero-trust infrastructure provisioning and secure access over port 22
- Storage Mapping — Discover persistent shared NAS volumes living in the Lambda ecosystem that can be mounted simultaneously across multiple worker nodes
- Resource Cleanup — Terminate and deallocate compute nodes instantly to stop billing and maintain a clean cloud footprint
How it works
- Subscribe to this server
- Enter your Lambda Labs API Key
- Start managing your GPU cloud from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Machine Learning Engineers — launch powerful GPU boxes for training and fine-tuning through natural conversation without manual dashboard searching
- Data Scientists — monitor active instances and retrieve Jupyter Lab access tokens directly from your workspace for rapid experimentation
- AI Infrastructure Ops — manage SSH keys and shared filesystems across multiple worker nodes to maintain scalable and secure ML environments
Built-in capabilities (7)
Get exact details and SSH connection string for a specific instance
g., powerful H100 or A100 boxes). Injects explicit SSH keys into the runtime so it is securely accessible over port 22 immediately upon boot. Provision a new Lambda GPU virtual machine
Map persistent shared NAS volumes living in the Lambda ecosystem
Exposes exact catalog configurations of available GPU node types, identifying exactly which regions currently hold physical availability. Discover available Lambda GPU instance specifications and pricing
List running GPU instances on Lambda Cloud
Enumerate globally managed SSH public keys in Lambda
Any ephemeral drives attached will be vaporized immediately without backup. Extremely destructive; stops billing instantly. Permanently terminate and destroy Lambda GPU instances
Why Cursor?
Cursor's Agent mode turns Lambda Labs (GPU Cloud) into an in-editor superpower. Ask Cursor to generate code using live data from Lambda Labs (GPU Cloud) and it fetches, processes, and writes. all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
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Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
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MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Lambda Labs (GPU Cloud) in Cursor
Why run Lambda Labs (GPU Cloud) with Vinkius?
The Lambda Labs (GPU Cloud) 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 7 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 Lambda Labs (GPU Cloud) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lambda Labs (GPU Cloud) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lambda Labs (GPU Cloud) to Cursor 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
Lambda Labs (GPU Cloud) for Cursor
Every request between Cursor and Lambda Labs (GPU Cloud) 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
Can I launch a high-performance H100 instance through my agent?
Yes. Use the launch_instance tool and specify the type (e.g. gpu_1x_h100) and region. Your agent will also allow you to attach registered SSH keys so the instance is securely accessible immediately upon boot.
How do I retrieve the Jupyter Lab access token for a running node?
Use the get_instance tool with your Instance ID. Your agent will fetch the complete telemetry, including the public IP and the Jupyter Lab access token if the environment is configured to provide it.
Can my agent check for GPU availability across different regions?
Absolutely. The list_instance_types tool queries the cloud boundary for hardware inventory. Your agent will report which GPU node types are currently available and in which physical regions they are hosted.
What is Agent mode and why does it matter for MCP?
Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
Where does Cursor store MCP configuration?
Cursor looks for MCP server configurations in a 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?
No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
How do I verify MCP tools are loaded?
Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.
Tools not appearing in Cursor
Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
Server shows as disconnected
Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.
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