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How to Use the Lichess.org Open Chess Intelligence MCP in OpenAI Agents SDK

Get raw Lichess telemetry directly into your OpenAI Agents SDK workflows using this dedicated chess MCP server.

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OpenAI Agents SDK

Connect Lichess.org Open Chess Intelligence MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lichess.org Open Chess Intelligence to OpenAI Agents 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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Live Tournament Tracking in OpenAI Agents SDK

The `list_broadcasts` tool fetches live updates from ongoing official chess tournaments directly to your agent. Your agent parses the move data and player positions as they happen, allowing you to feed real-time engine evaluations to your users. You don't need to write custom scrapers or polling loops. By passing this MCP tool to your OpenAI Agents SDK setup, your agent handles the rate limits and processes the live telemetry on the fly.

Deep Player Profiles and Match History

The `get_user_games` tool pulls complete match histories for any public Lichess profile to build detailed player dossiers. Your agent uses this historical data to spot opening weaknesses, tactical blind spots, and time management patterns. Combining this with `get_player_data` and `get_user_activity` lets your agent map out a player's recent form. The OpenAI Agents SDK manages the handoffs between specialized profile-scouting agents to keep your analysis pipeline clean.

Interactive Training and Live Streams

The `get_daily_puzzle` tool fetches the current Lichess daily puzzle to run automated training sessions with your users. Your agent evaluates user solutions and explains the tactical ideas behind the winning moves. You can also run `list_live_streamers` alongside this to find active chess creators on the platform. This lets your agent suggest active streams to watch when a user finishes their daily training routine.

Setup guide

Set up Lichess.org Open Chess Intelligence MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lichess.org Open Chess Intelligence tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lichess.org Open Chess Intelligence tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lichess.org Open Chess Intelligence tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lichess.org Open Chess Intelligence Agent",
            instructions="You have access to Lichess.org Open Chess Intelligence tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

Install the python package, run the server, and pass the HTTP endpoint to your agent list. The OpenAI Agents SDK auto-discovers all ten tools with zero manual mapping.
Yes. The server handles rate-limiting internally, but you should use the sdk's built-in guardrails to throttle rapid consecutive calls. This keeps your API keys safe from temporary bans.
The server uses the `list_broadcasts` tool to pull current tournament states from Lichess. Your agent can read these game states to provide live commentary or tactical summaries.
Yes, you use the `list_live_streamers` tool. Your agent can query this to see who is currently broadcasting chess content and present a clean list to your users.
The server runs in a zero-trust sandbox and only queries public Lichess APIs. It never stores your private account credentials or game history on external disks.

Start using the Lichess.org Open Chess Intelligence MCP today

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