NetEase Cloud Gaming MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NetEase Cloud Gaming as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 NetEase Cloud Gaming. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in NetEase Cloud Gaming?"
)
print(response)
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 NetEase Cloud Gaming MCP Server
Connect your AI agents to NetEase Cloud Gaming (网易云游戏), the leading platform for instant cloud-native gaming. This MCP provides 10 tools to manage the entire lifecycle of cloud gaming sessions and user access controls.
LlamaIndex agents combine NetEase Cloud Gaming 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
- Session Control — Create, stop, and monitor cloud gaming sessions with real-time status updates
- Catalog Management — List optimized games and retrieve detailed technical specifications
- Quota Orchestration — Monitor and adjust user play time quotas and subscription limits
- Infrastructure Monitoring — Inspect server clusters and check global system health
The NetEase Cloud Gaming 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 NetEase Cloud Gaming to LlamaIndex via MCP
Follow these steps to integrate the NetEase Cloud Gaming 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 NetEase Cloud Gaming
Why Use LlamaIndex with the NetEase Cloud Gaming MCP Server
LlamaIndex provides unique advantages when paired with NetEase Cloud Gaming through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NetEase Cloud Gaming tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NetEase Cloud Gaming tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NetEase Cloud Gaming, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NetEase Cloud Gaming tools were called, what data was returned, and how it influenced the final answer
NetEase Cloud Gaming + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NetEase Cloud Gaming MCP Server delivers measurable value.
Hybrid search: combine NetEase Cloud Gaming real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NetEase Cloud Gaming 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 NetEase Cloud Gaming for fresh data
Analytical workflows: chain NetEase Cloud Gaming queries with LlamaIndex's data connectors to build multi-source analytical reports
NetEase Cloud Gaming MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect NetEase Cloud Gaming to LlamaIndex via MCP:
add_user_quota
Add cloud play time to a user account
create_session
Initialize a new NetEase cloud gaming session
get_cluster_info
Get detailed info for a specific cluster
get_game_detail
Get details for a specific NetEase cloud game
get_session_status
Check the status of a cloud gaming session
get_system_health
Check overall health of the NetEase Cloud Gaming platform
get_user_quota
Get remaining cloud play time for a user
list_clusters
List cloud gaming server clusters
list_games
List games available on NetEase Cloud Gaming
stop_session
Force stop an active cloud gaming session
Example Prompts for NetEase Cloud Gaming in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with NetEase Cloud Gaming immediately.
"Create a cloud gaming session for game 'game_456' and user 'user_789'."
"List all games currently available on the NetEase Cloud platform."
"Show the remaining quota for user 'user_beta_1'."
Troubleshooting NetEase Cloud Gaming MCP Server with LlamaIndex
Common issues when connecting NetEase Cloud Gaming to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNetEase Cloud Gaming + LlamaIndex FAQ
Common questions about integrating NetEase Cloud Gaming MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect NetEase Cloud Gaming 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 NetEase Cloud Gaming to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.