How to Use the Epic Online Services & Social Analytics MCP in LlamaIndex
Index live player stats from Epic Online Services & Social Analytics with LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Epic Online Services & Social Analytics MCP to LlamaIndex
Create your Vinkius account to connect Epic Online Services & Social Analytics to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index social stats in LlamaIndex
Transform `get_game_leaderboard` output into a searchable knowledge base. Your application can now query historical rankings using natural language. This integrates live API data with your existing document stores. You get answers based on current leaderboard positions rather than stale cached values.
Query achievement history
Feed `get_player_achievements` into your index to track long-term progress. You can ask your agent questions about how a player's completion rate has changed. Store these results alongside your game documentation. This creates a unified knowledge source for both technical specs and player performance.
Manage player lists
Map `get_friend_list` and `get_blocked_users` to your semantic index. This allows your agent to answer questions about a user's social circle contextually. Updates to these lists reflect in your index immediately. Your RAG app stays grounded in the most recent social data.
Set up Epic Online Services & Social Analytics MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Epic Online Services & Social Analytics MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Epic Online Services & Social Analytics tools.",
)
response = await agent.run("List recent Epic Online Services & Social Analytics data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Epic Online Services. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Epic Online Services & Social Analytics MCP in LlamaIndex
Use it with your favorite AI tools
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