Lambda Labs (GPU Cloud) MCP Server for Google ADK 7 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lambda Labs (GPU Cloud) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="lambda_labs_gpu_cloud_agent",
instruction=(
"You help users interact with Lambda Labs (GPU Cloud) "
"using 7 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Lambda Labs (GPU Cloud) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Lambda Labs (GPU Cloud) MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 7 tools from Lambda Labs (GPU Cloud) via MCP
Why Use Google ADK with the Lambda Labs (GPU Cloud) MCP Server
Google ADK provides unique advantages when paired with Lambda Labs (GPU Cloud) through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Lambda Labs (GPU Cloud)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Lambda Labs (GPU Cloud) tools with BigQuery, Vertex AI, and Cloud Functions
Lambda Labs (GPU Cloud) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Lambda Labs (GPU Cloud) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Lambda Labs (GPU Cloud) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Lambda Labs (GPU Cloud) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Lambda Labs (GPU Cloud) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Lambda Labs (GPU Cloud)
Lambda Labs (GPU Cloud) MCP Tools for Google ADK (7)
These 7 tools become available when you connect Lambda Labs (GPU Cloud) to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Lambda Labs (GPU Cloud) to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkLambda Labs (GPU Cloud) + Google ADK FAQ
Common questions about integrating Lambda Labs (GPU Cloud) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Lambda Labs (GPU Cloud) to Google ADK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.