How to Use the Chess.com Global Intelligence MCP in LlamaIndex

Q: How do I filter which chess tools my agent can access?

You can use the allowedtools filter when defining the McpToolSpec in LlamaIndex to restrict the agent's actions.

Index Chess.com player stats and game archives into LlamaIndex for searchable, RAG-driven chess analysis.

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Connect Chess.com Global Intelligence MCP to LlamaIndex

Create your Vinkius account to connect Chess.com Global Intelligence 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 Chess.com Global Intelligence with LlamaIndex

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Index live Chess.com data into LlamaIndex.

The `get_player_stats` tool pulls real-time ratings and performance metrics directly into your LlamaIndex knowledge base. Instead of relying on static, outdated LLM training data, your agent queries live stats to answer questions. You can index these outputs directly into a vector store to build a searchable database of player performance. This keeps your RAG applications grounded in actual, current Chess.com numbers.

Build a queryable archive of historical chess games.

The `get_player_monthly_games` tool grabs complete game histories for any public Chess.com user. LlamaIndex parses these games and indexes them, turning raw PGN data into searchable documents. Your users can then run semantic search queries over thousands of historical games. The MCP Server handles the data retrieval, while LlamaIndex structures it for fast retrieval.

Query club and tournament metadata with LlamaIndex.

The `get_chess_club_details` tool retrieves metadata, player lists, and activity stats for specific chess clubs. Your agent can index this club data alongside tournament statistics from `get_tournament_metadata` to map out local chess communities. This setup lets you build a unified, searchable index of the global chess ecosystem. Your RAG pipeline can instantly find connections between clubs, tournaments, and player performance.

Setup guide

Set up Chess.com Global Intelligence 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 Chess.com Global Intelligence 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 Chess.com Global Intelligence tools.",
)
response = await agent.run("List recent Chess.com Global Intelligence data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chess.com. 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 Chess.com Global Intelligence MCP in LlamaIndex

Install llama-index-tools-mcp and initialize the BasicMCPClient with your Vinkius URL. Convert the server tools using McpToolSpec and pass them to your FunctionAgent.

Yes, your agent can call the monthly game tools and write the output directly into a vector index. This makes live chess data searchable immediately.

Yes, the server supports resource access, allowing LlamaIndex to read structured chess data directly into its document store.

You can use the allowed_tools filter when defining the McpToolSpec in LlamaIndex to restrict the agent's actions.

This MCP server reads public data like game archives, public profiles, and club metadata. Your private account details are never accessed or stored.

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