Lambda Labs (GPU Cloud) MCP Server for Windsurf 7 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Lambda Labs (GPU Cloud) through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Lambda Labs (GPU Cloud) and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"lambda-labs-gpu-cloud": {
"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 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.
Windsurf's Cascade agent chains multiple Lambda Labs (GPU Cloud) tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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
The Lambda Labs (GPU Cloud) MCP Server exposes 7 tools through the Vinkius. Connect it to Windsurf 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 Lambda Labs (GPU Cloud) to Windsurf via MCP
Follow these steps to integrate the Lambda Labs (GPU Cloud) MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Lambda Labs (GPU Cloud)
Open Cascade and ask: "Using Lambda Labs (GPU Cloud), help me..." — 7 tools available
Why Use Windsurf with the Lambda Labs (GPU Cloud) MCP Server
Windsurf provides unique advantages when paired with Lambda Labs (GPU Cloud) through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 7 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Lambda Labs (GPU Cloud) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Lambda Labs (GPU Cloud) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Lambda Labs (GPU Cloud) and generate models, types, or handlers based on real API responses
Live debugging: query Lambda Labs (GPU Cloud) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Lambda Labs (GPU Cloud) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Lambda Labs (GPU Cloud) data with Cascade's code generation to scaffold entire features in minutes
Lambda Labs (GPU Cloud) MCP Tools for Windsurf (7)
These 7 tools become available when you connect Lambda Labs (GPU Cloud) to Windsurf via MCP:
get_instance
Get exact details and SSH connection string for a specific instance
launch_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
list_filesystems
Map persistent shared NAS volumes living in the Lambda ecosystem
list_instance_types
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_instances
List running GPU instances on Lambda Cloud
list_ssh_keys
Enumerate globally managed SSH public keys in Lambda
terminate_instances
Any ephemeral drives attached will be vaporized immediately without backup. Extremely destructive; stops billing instantly. Permanently terminate and destroy Lambda GPU instances
Example Prompts for Lambda Labs (GPU Cloud) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Lambda Labs (GPU Cloud) immediately.
"List all my running GPU instances in Lambda Cloud"
"Launch a 1x H100 instance in us-east-1 with my 'default-key' SSH key"
"What are the available instance types and their current pricing?"
Troubleshooting Lambda Labs (GPU Cloud) MCP Server with Windsurf
Common issues when connecting Lambda Labs (GPU Cloud) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Lambda Labs (GPU Cloud) + Windsurf FAQ
Common questions about integrating Lambda Labs (GPU Cloud) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Lambda Labs (GPU Cloud) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript-native agent framework for modern web stacks.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lambda Labs (GPU Cloud) to Windsurf
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.