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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Lichess.org Open Chess Intelligence MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
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
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.
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
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