Lambda Labs (GPU Cloud) MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Lambda Labs (GPU Cloud) 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: {
"lambda-labs-gpu-cloud": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Lambda Labs (GPU Cloud) Agent",
instructions:
"You help users interact with Lambda Labs (GPU Cloud) " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Lambda Labs (GPU Cloud)?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Lambda Labs (GPU Cloud) tool infrastructure. Connect 7 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
- 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 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 Lambda Labs (GPU Cloud) to Mastra AI via MCP
Follow these steps to integrate the Lambda Labs (GPU Cloud) 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 7 tools from Lambda Labs (GPU Cloud) via MCP
Why Use Mastra AI with the Lambda Labs (GPU Cloud) MCP Server
Mastra AI provides unique advantages when paired with Lambda Labs (GPU Cloud) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Lambda Labs (GPU Cloud) 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 Lambda Labs (GPU Cloud) 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
Lambda Labs (GPU Cloud) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Lambda Labs (GPU Cloud) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Lambda Labs (GPU Cloud), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Lambda Labs (GPU Cloud) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Lambda Labs (GPU Cloud) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Lambda Labs (GPU Cloud) tools alongside other MCP servers
Lambda Labs (GPU Cloud) MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Lambda Labs (GPU Cloud) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Lambda Labs (GPU Cloud) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLambda Labs (GPU Cloud) + Mastra AI FAQ
Common questions about integrating Lambda Labs (GPU Cloud) 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 Lambda Labs (GPU Cloud) 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 Lambda Labs (GPU Cloud) to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.