How do I check the real-time health of a specific computing node?

Use the `get_node` tool with the corresponding `node_id`. It will return real-time metrics including CPU, GPU, and Memory usage, as well as the current online status.

Can I deploy a new computing task using the agent?

Yes. Use the `create_task` tool. You will need to provide the `image_id` and the `cluster_id` where you want to deploy the task. You can also optionaly give the task a name.

Is it possible to remotely reboot a node through the chat?

Yes, using the `send_node_command` tool. You just need the `node_id` and specify 'reboot' as the command. This allows for rapid remote maintenance without manual intervention.

Shunwang Tech MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Shunwang Tech
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Shunwang Tech through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Shunwang Tech Assistant",
            instructions=(
                "You help users interact with Shunwang Tech. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Shunwang Tech"
        )
        print(result.final_output)

asyncio.run(main())

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IAMAccess control

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Shunwang Tech MCP Server

Empower your AI agent to orchestrate your edge computing infrastructure with Shunwang Tech, the dominant platform for PC Bang (Internet Cafe) management and distributed GPU resources in China. By connecting Shunwang to your agent, you transform complex resource scheduling and node monitoring into a natural conversation. Your agent can instantly list computing nodes, deploy new tasks to specific clusters, audit resource usage, and even send remote management commands without you ever touching a technical dashboard. Whether you are managing an AI inference network or a large-scale gaming infrastructure, your agent acts as a real-time infrastructure manager, ensuring your edge resources are always optimized and responsive.

The OpenAI Agents SDK auto-discovers all 10 tools from Shunwang Tech through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Shunwang Tech, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Node Monitoring — List all computing nodes in your network, check real-time metrics (CPU, GPU, RAM), and audit their health status.
Task Scheduling — Create and deploy new computing tasks, stop running processes, and manage task lifecycles across your clusters.
Resource Optimization — Audit overall GPU specifications and resource usage summaries to optimize your edge-cloud synergy.
Cluster Management — Browse available computing clusters and organize your distributed infrastructure effectively.
Remote Operations — Send management commands like reboot or shutdown to specific nodes directly through the chat interface.

The Shunwang Tech MCP Server exposes 10 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 Shunwang Tech to OpenAI Agents SDK via MCP

Follow these steps to integrate the Shunwang Tech 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 10 tools from Shunwang Tech

Why Use OpenAI Agents SDK with the Shunwang Tech MCP Server

OpenAI Agents SDK provides unique advantages when paired with Shunwang Tech 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

Shunwang Tech + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Shunwang Tech MCP Server delivers measurable value.

Automated workflows: build agents that query Shunwang Tech, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Shunwang Tech, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Shunwang Tech tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Shunwang Tech to resolve tickets, look up records, and update statuses without human intervention

Shunwang Tech MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Shunwang Tech to OpenAI Agents SDK via MCP:

create_task

Create a new computing task

get_gpu_specs

Get GPU specifications

get_node

Get node details

get_resource_usage

Get resource usage summary

list_clusters

List computing clusters

list_images

List available system images

list_nodes

List all computing nodes

list_tasks

List computing tasks

send_node_command

Send command to node

stop_task

Stop a computing task

Example Prompts for Shunwang Tech in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Shunwang Tech immediately.

"List all active computing nodes in my Shunwang network."

"Deploy a new task to cluster 'Huzhou-Edge-01' using image 'ai-inference-v2'."

"What is the current GPU resource usage across my entire Shunwang infrastructure?"

Troubleshooting Shunwang Tech MCP Server with OpenAI Agents SDK

Common issues when connecting Shunwang Tech to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Shunwang Tech + OpenAI Agents SDK FAQ

Common questions about integrating Shunwang Tech MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.