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

Stream live game data into your React apps using the Lichess.org Open Chess Intelligence MCP Server and Vercel AI SDK.

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Connect Lichess.org Open Chess Intelligence MCP to Vercel AI SDK

Create your Vinkius account to connect Lichess.org Open Chess Intelligence to Vercel AI SDK 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 Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time tournament monitoring

Pipe live broadcast data directly into your frontend components. Use `list_broadcasts` to track active tournaments as they happen. Your users get instant updates without waiting for page refreshes. The AI SDK streams these tool results to keep your UI current.

Instant player stat retrieval

Pull public profiles and match histories into your dashboard. Call `get_player_data` and `get_user_games` to display performance metrics on demand. Everything stays in sync with the server state. You avoid stale data by querying the source directly through your UI.

Interactive puzzle integration

Embed daily challenges into your application layout. Use `get_daily_puzzle` to fetch the latest board state for your users to solve. It connects your interface to the Lichess.org Open Chess Intelligence engine. Your React components handle the input while the MCP server manages the content.

Setup guide

Set up Lichess.org Open Chess Intelligence MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Lichess.org Open Chess Intelligence tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Lichess.org Open Chess Intelligence transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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 Vercel AI SDK

Install the MCP client package and initialize the transport layer. You point the client to your Vinkius endpoint and pass the tools into your streamText function.

Yes, it supports full streaming of tool outputs. Your UI renders the data packets as they arrive from the server.

You manage the request flow within your edge functions. The server provides the tools, but you control the frequency of calls to avoid hitting limits.

It's built for production use. The connection is handled via secure endpoints and standard MCP protocols.

The server accesses public game logs, player stats, and broadcast metadata. No private user credentials or sensitive account information are touched during these operations.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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