How to Use the Lichess.org Open Chess Intelligence MCP in Mastra AI

Build automated chess workflows with Mastra AI and the Lichess.org Open Chess Intelligence MCP Server.

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Connect Lichess.org Open Chess Intelligence MCP to Mastra AI

Create your Vinkius account to connect Lichess.org Open Chess 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 Lichess.org Open Chess Intelligence with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated broadcast monitoring

Create workflows that watch for specific tournament events. Use `list_broadcasts` to trigger alerts or logging when a match starts. Your agents can branch logic based on these events. If a broadcast goes live, the agent initiates the next step in your pipeline.

Multi-step player analysis

Chain together data calls to evaluate player performance. Run `get_player_data` followed by `get_user_games` to build a complete profile. These workflows handle retries if the network blips. Your logic stays sound even when dealing with complex data sequences.

Team and status tracking

Monitor team member activity or check if specific players are online. Use `get_team_members` and `get_users_online_status` to maintain an active watch list. Mastra AI executes these checks on your schedule. It ensures your agents always have current data before making a decision.

Setup guide

Set up Lichess.org Open Chess 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 Lichess.org Open Chess 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: "lichessorg-open-chess-intelligence-mcp-client",
  servers: {
    "lichessorg-open-chess-intelligence-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Lichess.org Open Chess 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 Lichess.org. 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 Lichess.org Open Chess Intelligence MCP in Mastra AI

Add the MCP client to your agent configuration. Mastra AI detects the tools automatically and makes them available for your workflow agents.

You can enable manual approval for any tool call. This gives you control over when the agent interacts with the server data.

The framework includes built-in retry logic with exponential backoff. It manages transient errors so your workflow continues without manual intervention.

Yes, you can define conditional paths based on the tool results. The agent decides the next move based on the data it fetches.

All communication is encrypted via the MCP standard. The server only processes public chess data, ensuring your internal workflow logs remain isolated from sensitive user info.

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