Paperspace MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Paperspace through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Paperspace Assistant",
instructions=(
"You help users interact with Paperspace. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Paperspace"
)
print(result.final_output)
asyncio.run(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 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.
The OpenAI Agents SDK auto-discovers all 6 tools from Paperspace through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Paperspace, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Paperspace MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Paperspace
Why Use OpenAI Agents SDK with the Paperspace MCP Server
OpenAI Agents SDK provides unique advantages when paired with Paperspace through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Paperspace + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Paperspace MCP Server delivers measurable value.
Automated workflows: build agents that query Paperspace, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Paperspace, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Paperspace tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Paperspace to resolve tickets, look up records, and update statuses without human intervention
Paperspace MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Paperspace to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Paperspace to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Paperspace + OpenAI Agents SDK FAQ
Common questions about integrating Paperspace MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.