Paperspace MCP Server for Google ADK 6 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Paperspace as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
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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="paperspace_agent",
instruction=(
"You help users interact with Paperspace "
"using 6 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 Paperspace MCP Server
Bring DigitalOcean Paperspace Cloud Insights directly into your AI workflows. By bridging directly with your AI compute environments, this integration tracks active deep learning machines, traces deployment logic natively, maps active Jupyter notebooks acting as Gradient limits, and exports the strict profile bounds applied across your data-science operations.
Google ADK natively supports Paperspace as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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
- Compute Core Engine — Identify heavily modified REST boundaries targeting physical core/GPU machines extracting memory schemas and storage constraints gracefully
- Project Modeling — Trace collaborative groupings checking native team logic and limits defining exactly how GPU units map globally into discrete Project clusters
- Notebook Insights — Query raw Jupyter notebooks attached strictly to the deep logic Gradient models determining idle constraints
- Deployment Workloads — Check serverless API container logs determining container availability
The Paperspace MCP Server exposes 6 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 Paperspace to Google ADK via MCP
Follow these steps to integrate the Paperspace 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 6 tools from Paperspace via MCP
Why Use Google ADK with the Paperspace MCP Server
Google ADK provides unique advantages when paired with Paperspace 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 Paperspace
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 Paperspace tools with BigQuery, Vertex AI, and Cloud Functions
Paperspace + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Paperspace MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Paperspace and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Paperspace tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Paperspace regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Paperspace
Paperspace MCP Tools for Google ADK (6)
These 6 tools become available when you connect Paperspace to Google ADK via MCP:
get_machine_details
Perform structural extraction of properties driving active Instance logic
get_user_details
Identify precise active arrays spanning native Identity Auth
list_deployments
Retrieve explicit Cloud logging tracing explicit Deploy targets
list_machines
Identify bounded Compute resources inside the Headless Paperspace limits
list_notebooks
Inspect deep internal arrays mitigating specific AI workload limits
list_projects
Enumerate explicitly attached structured rules exporting active Team limits
Example Prompts for Paperspace in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Paperspace immediately.
"Scan Paperspace for any currently active deployed Core machines."
"Execute an inventory sweep over active Gradient Jupyter Notebooks running in production."
"Show exactly which users are tied down to my native Paperspace environment."
Troubleshooting Paperspace MCP Server with Google ADK
Common issues when connecting Paperspace to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkPaperspace + Google ADK FAQ
Common questions about integrating Paperspace 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?
Connect Paperspace 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 Paperspace to Google ADK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.