How to Use the Apex & Division Stats by TRN MCP in LlamaIndex

Q: Does this MCP server work for Division 2 stats in LlamaIndex?

Yes, use getdivision2pvpstats to feed your index with specific agent data. It works identically to the Apex tools.

Index your gaming history into LlamaIndex for grounded, searchable insights using Apex & Division Stats by TRN.

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Connect Apex & Division Stats by TRN MCP to LlamaIndex

Create your Vinkius account to connect Apex & Division Stats by TRN 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.

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Setup Apex & Division Stats by TRN with LlamaIndex

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Searchable history for LlamaIndex

Turn your `get_apex_match_history` results into indexed knowledge. LlamaIndex stores these records so your agent can answer questions about past games later. Stop relying on raw API calls. Query your indexed data to find patterns in player performance across different seasons.

Ground your LlamaIndex agent in real data

Use `get_apex_legend_breakdown` to populate your vector store with specific playstyle metrics. The agent answers based on these stats instead of guessing. This creates a reliable feedback loop. Your agent queries the index, finds the stats, and provides precise answers grounded in actual match history.

Efficient data retrieval for this MCP Server

The tool spec handles the heavy lifting of converting API responses into indexable formats. You define the tools, and LlamaIndex handles the ingestion. Filtering is built-in. You only index the specific player stats you need for your current knowledge base.

Setup guide

Set up Apex & Division Stats by TRN MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Apex & Division Stats by TRN MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Apex & Division Stats by TRN tools.",
)
response = await agent.run("List recent Apex & Division Stats by TRN data")

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Common questions about Apex & Division Stats by TRN MCP in LlamaIndex

Use the provided tool spec to pull data and pass it to your indexing pipeline. The agent treats the API output as a document source for your vector store.

Absolutely. You fetch the stats, index them, and your agent retrieves that context to answer complex questions about player history.

Yes, use `get_division2_pvp_stats` to feed your index with specific agent data. It works identically to the Apex tools.

Your player stats are transient and restricted to your local index. Vinkius does not log or retain any of the gaming data retrieved through your client.

Every tool listed is available. You can filter the tool list if you only need specific metrics for your indexing tasks.

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