How to Use the Chess.com MCP in Google ADK

Q: How do I load Chess.com player data into BigQuery using the Google ADK?

You run the getplayerprofile tool to fetch user metadata, then write that structured payload to BigQuery. The Google ADK makes it easy to pass this JSON data directly to other Google Cloud services.

Q: Can I use Gemini's 1M token context with Chess.com games via Google ADK?

Yes. You can fetch months of PGN data using getplayermonthlygames and pass the entire corpus to Gemini. The MCP Server ensures the raw text is formatted cleanly for the long-context window.

Q: Can I monitor active chess streamers with this toolset?

Yes. The agent uses getstreamers to get a list of active verified creators. You can then parse this list to find who is online or filter by language and platform.

Run deep analysis on massive Chess.com datasets with Gemini long-context and the Google ADK.

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Connect Chess.com MCP to Google ADK

Create your Vinkius account to connect Chess.com to Google ADK 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 with Google ADK

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Pipeline Chess.com game history straight to BigQuery

Move millions of moves from Chess.com directly into your Google Cloud storage. Your Gemini agent uses `get_player_game_archives` and `get_player_monthly_games` to pull years of raw PGN data, which you can load into BigQuery for SQL analysis. Because the Google ADK handles massive context windows, your agent can ingest entire tournament histories at once. This allows you to run complex statistical models on player openings without worrying about prompt limits.

Analyze global chess trends using Gemini long-context

Build enterprise-grade agents that track regional chess popularity and talent pools. By calling `get_country_players` and `get_leaderboards`, your agent can fetch large lists of international competitors to analyze shifting demographics. This MCP Server exposes clean endpoints that the Google ADK translates into native schema calls. You can cross-reference player origins with Vertex AI's translation and sentiment tools to analyze chess communities globally.

Build a Chess.com club monitor with Google ADK

Keep tabs on massive online communities by monitoring club metrics. Your agent can call `get_club_info` and `get_club_members` to track growth, active rosters, and administrator profiles for any public club. Using standard Google ADK parameters, you can run this monitoring agent on a cron job. The agent automatically processes the club rosters and alerts you when high-profile players join specific communities.

Setup guide

Set up Chess.com MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Chess.com tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Chess.com_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Chess.com tools via MCP.",
    tools=mcp_tools,
)

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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 MCP in Google ADK

You run the `get_player_profile` tool to fetch user metadata, then write that structured payload to BigQuery. The Google ADK makes it easy to pass this JSON data directly to other Google Cloud services.

Yes. You can fetch months of PGN data using `get_player_monthly_games` and pass the entire corpus to Gemini. The MCP Server ensures the raw text is formatted cleanly for the long-context window.

The ADK connects via a single secure HTTP endpoint managed by Vinkius. You pass your endpoint token during initialization, and the framework handles all tool routing automatically.

Yes. The agent uses `get_streamers` to get a list of active verified creators. You can then parse this list to find who is online or filter by language and platform.

All communications are encrypted in transit over HTTPS. Vinkius runs the MCP Server inside a zero-trust, ephemeral sandbox, ensuring your community analytics and player records are never cached or exposed to external networks.

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