Vivo Game Open Platform MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Vivo Game Open Platform as an MCP tool provider through the 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 Vivo Game Open Platform. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Vivo Game Open Platform?"
)
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 Vivo Game Open Platform MCP Server
Connect your AI agents to the Vivo Game Open Platform (vivo 开放平台), the primary ecosystem for game distribution on Vivo mobile devices. This MCP provides 9 tools to automate server-to-server validation, payment tracking, and player data reporting for high-performance mobile and mini-games.
LlamaIndex agents combine Vivo Game Open Platform tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the 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
- Authentication — Validate user tokens and retrieve unique
openididentifiers from the Vivo account service - Payment Orchestration — Query real-time status for payment orders and reconcile transactions programmatically
- Game Analytics — Report player progress, high scores, and level data to the Vivo Game Center rankings
- Role Management — Update character/role information including names, levels, and server assignments
- App Configuration — Fetch current application settings and list active game servers from the developer console
The Vivo Game Open Platform MCP Server exposes 9 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 Vivo Game Open Platform to LlamaIndex via MCP
Follow these steps to integrate the Vivo Game Open Platform 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 9 tools from Vivo Game Open Platform
Why Use LlamaIndex with the Vivo Game Open Platform MCP Server
LlamaIndex provides unique advantages when paired with Vivo Game Open Platform through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Vivo Game Open Platform tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Vivo Game Open Platform tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Vivo Game Open Platform, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Vivo Game Open Platform tools were called, what data was returned, and how it influenced the final answer
Vivo Game Open Platform + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Vivo Game Open Platform MCP Server delivers measurable value.
Hybrid search: combine Vivo Game Open Platform real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Vivo Game Open Platform 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 Vivo Game Open Platform for fresh data
Analytical workflows: chain Vivo Game Open Platform queries with LlamaIndex's data connectors to build multi-source analytical reports
Vivo Game Open Platform MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Vivo Game Open Platform to LlamaIndex via MCP:
get_app_config
Retrieve application configuration from Vivo platform
get_server_time
Synchronize with Vivo platform server time
get_user_info
Retrieve basic profile data for a Vivo user
list_game_servers
Query the list of game servers
list_items
Query available virtual items for the app
query_order
Check the status of a specific payment order
report_game_data
Submit player progress and scores to Vivo Game Center
report_role_info
Report character or role information
validate_login
Verify a user login token from Vivo SDK
Example Prompts for Vivo Game Open Platform in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Vivo Game Open Platform immediately.
"Check the status of Vivo order ID 'cp_order_555666'."
"Validate the login token 'tok_vivo_abc' from the client."
"List all active game servers configured in the Vivo console."
Troubleshooting Vivo Game Open Platform MCP Server with LlamaIndex
Common issues when connecting Vivo Game Open Platform to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpVivo Game Open Platform + LlamaIndex FAQ
Common questions about integrating Vivo Game Open Platform 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 Vivo Game Open Platform 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 Vivo Game Open Platform to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.