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

Deploy competing AutoGen agents to debate chess tactics, tournament broadcasts, and player profiles using live Lichess data.

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Connect Lichess.org Open Chess Intelligence MCP to AutoGen

Create your Vinkius account to connect Lichess.org Open Chess Intelligence to AutoGen 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 AutoGen

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Debate chess tactics using multi-agent AutoGen setups

The `get_daily_puzzle` tool delivers the latest chess challenge directly into your AutoGen multi-agent debate sessions. One agent can fetch the position, while a tactical agent proposes solutions and a defensive agent tries to find refutations. They debate the lines until they reach a consensus on the best move. By using this MCP Server, your AutoGen team has access to the exact same chess data, allowing them to verify calculations against real engine puzzles. This collaborative reasoning produces much deeper tactical analysis than a single agent.

Profile opponents with specialized agent roles

The `get_user_games` tool pulls raw match histories so specialized AutoGen scouting agents can profile opponents. A scouting agent can retrieve their recent matches, while a statistical agent calls `get_player_data` to analyze rating trends across different time controls. The agents then debate the player's weaknesses. The statistical agent might point out a drop in rapid rating, while the scouting agent highlights a recurring tactical vulnerability in their opening choices, giving you a complete tactical profile.

Monitor live chess broadcasts using an MCP Server

The `list_broadcasts` tool tracks active tournaments so your AutoGen broadcast desk can coordinate commentary. One agent tracks active events, while another checks `get_tv_channels` to see who is pulling the most viewers. A third agent can monitor `list_live_streamers` to coordinate commentary. These agents work together to generate live tournament recaps. They negotiate which games are the most interesting to cover, ensuring your broadcast feed focuses on high-stakes matches rather than low-tier games.

Setup guide

Set up Lichess.org Open Chess Intelligence MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Lichess.org Open Chess Intelligence tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Lichess.org Open Chess Intelligence_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Lichess.org Open Chess Intelligence data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Lichess.org Open Chess Intelligence_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Lichess.org Open Chess Intelligence data")
    print(result.messages[-1].content)

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 AutoGen

You use the MCP tool adapter to convert the server's tools into the schema AutoGen expects. Once registered, any agent in your group conversation can call tools like `get_leaderboards` when requested.

Yes, all agents in the group chat can share access to the toolset. An analyst agent might call `get_user_activity` while a manager agent reviews the activity log to decide the next analytical step.

You should implement a coordination agent that schedules tool calls. This prevents multiple agents from calling `get_user_games` simultaneously and triggering rate limits on the Lichess API.

AutoGen supports both stdio and Streamable HTTP. For Vinkius-hosted servers, the Streamable HTTP transport is ideal as it allows your agents to connect securely via a single endpoint token.

This server only queries public match histories and online status logs from Lichess. Vinkius isolates all execution threads, ensuring your analytical queries and agent debates remain completely confidential.

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