Heybox 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 Heybox 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 Heybox. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Heybox?"
)
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 Heybox MCP Server
Connect your AI agents to Heybox (小黑盒), the leading PC gaming community and database platform in China. This MCP provides 10 tools to access granular game information, player statistics for competitive titles like PUBG and CS2, and trending community content.
LlamaIndex agents combine Heybox 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
- Game Insights — Retrieve ratings, market prices, and community sentiment for any Steam or Heybox game
- Player Analytics — Track match history, playtime, and rank progression for linked accounts
- Community Monitoring — List top posts and news from the massive Heybox BBS boards
- Market Trends — Monitor item prices and active giveaways/lottery events
The Heybox 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 Heybox to LlamaIndex via MCP
Follow these steps to integrate the Heybox 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 Heybox
Why Use LlamaIndex with the Heybox MCP Server
LlamaIndex provides unique advantages when paired with Heybox through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Heybox tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Heybox tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Heybox, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Heybox tools were called, what data was returned, and how it influenced the final answer
Heybox + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Heybox MCP Server delivers measurable value.
Hybrid search: combine Heybox real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Heybox 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 Heybox for fresh data
Analytical workflows: chain Heybox queries with LlamaIndex's data connectors to build multi-source analytical reports
Heybox MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Heybox to LlamaIndex via MCP:
get_game_info
Retrieve detailed information for a game
get_heybox_app_status
Get Heybox task and app status
get_market_prices
g., CS2, PUBG skins). Check current market prices for game items
get_match_history
Get recent match history for a competitive game
get_post_detail
Get complete content of a community post
get_user_stats
). Retrieve gaming statistics for a user
list_community_posts
List trending posts in a community board
list_discount_games
Retrieve the current discounted games
list_game_news
Get the latest gaming industry news
list_lotteries
Retrieve current official lotteries
Example Prompts for Heybox in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Heybox immediately.
"Get the current market prices for CS2 items from Heybox."
"Show me the top trending posts in the PUBG board."
"Get detailed info for Steam game ID '570' (Dota 2)."
Troubleshooting Heybox MCP Server with LlamaIndex
Common issues when connecting Heybox to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHeybox + LlamaIndex FAQ
Common questions about integrating Heybox 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 Heybox 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 Heybox to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.