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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Shunwang Tech
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Shunwang Tech as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Shunwang Tech. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Shunwang Tech?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine Shunwang Tech tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Shunwang Tech MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Shunwang Tech

Why Use LlamaIndex with the Shunwang Tech MCP Server

LlamaIndex provides unique advantages when paired with Shunwang Tech through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Shunwang Tech tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Shunwang Tech tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Shunwang Tech, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Shunwang Tech tools were called, what data was returned, and how it influenced the final answer

Shunwang Tech + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Shunwang Tech MCP Server delivers measurable value.

Hybrid search: combine Shunwang Tech real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Shunwang Tech to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Shunwang Tech for fresh data

Analytical workflows: chain Shunwang Tech queries with LlamaIndex's data connectors to build multi-source analytical reports

Shunwang Tech MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Shunwang Tech to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Shunwang Tech + LlamaIndex FAQ

Common questions about integrating Shunwang Tech MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Shunwang Tech tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.