How to Use the Chess.com Global Intelligence MCP in Mastra AI

Q: Can I create a workflow that reacts to player rating changes using Chess.com Global Intelligence and Mastra AI?

Yes. Your workflow can periodically call getplayerstats for a list of players. Use Mastra's conditional logic to compare the new rating to the last known rating, and if it changes by a certain amount, trigger another action.

Q: How do I get all games for a specific month with Chess.com Global Intelligence and Mastra AI?

It's a two-step process in your workflow. First, call getplayergamearchives to get the list of monthly archive URLs. Then, pass the specific month's URL to the getplayermonthlygames tool to get the PGNs for that period.

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Connect Chess.com Global Intelligence MCP to Mastra AI

Create your Vinkius account to connect Chess.com Global Intelligence to Mastra AI 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 Mastra AI

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Automate Player Data Collection

Set up a workflow to monitor specific players. Your Mastra AI agent can use `get_player_profile` to check for new players, then trigger a separate step to pull their complete history with `get_player_game_archives` and `get_player_monthly_games`. Mastra's workflow engine makes this solid. If a call to the Chess.com API fails, it automatically retries with exponential backoff. You can build conditional logic, like 'if player rating > 2700, then send a notification'.

Create Chess Analysis Pipelines

Chain tools together for deeper insights. Start by getting a list of GMs with `list_titled_players`. Then, for each player, have the workflow fetch their latest monthly games using `get_player_monthly_games`. This isn't just a simple script; you're building a production-grade data pipeline. Mastra lets you deploy this workflow with one command and it will run reliably, handling errors and logging its progress without your intervention.

Monitor Tournaments with Mastra AI

Build a bot that watches the chess world for you. A recurring workflow can hit `get_tournament_metadata` to check for new high-profile events. Another one can ping `list_active_streamers` every 15 minutes. When a new top-tier tournament is found or a famous player starts streaming, your workflow can trigger other actions. It could send a message to a Discord channel, update a database, or kick off another analysis agent. You define the logic, Mastra handles the execution.

Setup guide

Set up Chess.com Global Intelligence MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Chess.com Global Intelligence tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "chesscom-global-intelligence-mcp-client",
  servers: {
    "chesscom-global-intelligence-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Chess.com Global Intelligence Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Chess.com Global Intelligence tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Chess.com Global Intelligence transactions"
);
console.log(result.text);

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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 Mastra AI

Mastra AI has built-in retry logic. When your agent calls a tool like `get_player_stats`, any transient network error will trigger an automatic retry. You can configure the backoff strategy to make your data collection extremely reliable.

Yes. Your workflow can periodically call `get_player_stats` for a list of players. Use Mastra's conditional logic to compare the new rating to the last known rating, and if it changes by a certain amount, trigger another action.

It's a two-step process in your workflow. First, call `get_player_game_archives` to get the list of monthly archive URLs. Then, pass the specific month's URL to the `get_player_monthly_games` tool to get the PGNs for that period.

Set up a Mastra AI workflow to run on a schedule, like every 10 minutes. In the workflow, have your agent call `list_active_streamers`. You can then compare the returned list with the previous one to identify new streamers and trigger an alert.

This MCP server only interacts with publicly available Chess.com data like game PGNs and player ratings. It never touches your personal account details. All connections run through the Vinkius sandbox, which isolates every request in an ephemeral environment, ensuring your operations remain private.

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