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

Deploy autonomous agent crews using the Lichess.org Open Chess Intelligence MCP Server and CrewAI.

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Connect Lichess.org Open Chess Intelligence MCP to CrewAI

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

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Claude

Perplexity

Autonomous tournament monitoring

Assign an agent to track official events using `list_broadcasts`. It works alongside other agents in your crew to analyze the incoming data. This setup allows for specialization. One agent monitors the feed while another reports on key developments.

Collaborative player research

Let your crew perform deep dives into player stats. Agents use `get_player_data` to gather context before formulating a tactical summary. They share this memory within the crew. Each agent builds on the findings of its peers to provide better insights.

Live streamer activity tracking

Maintain a persistent watch on active streamers. Use `list_live_streamers` to feed data into your moderation or reporting agents. Your agents act without human input once configured. They identify trends and report back based on the live data stream.

Setup guide

Set up Lichess.org Open Chess Intelligence MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Lichess.org Open Chess Intelligence tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lichess.org Open Chess Intelligence Analyst",
    goal="Access and analyze Lichess.org Open Chess Intelligence data via MCP.",
    backstory="Expert analyst with direct Lichess.org Open Chess Intelligence access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Lichess.org Open Chess Intelligence transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Lichess.org Open Chess Intelligence Analyst",
        goal="Access and analyze Lichess.org Open Chess Intelligence data via MCP.",
        backstory="Expert analyst with direct Lichess.org Open Chess Intelligence access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lichess.org Open Chess Intelligence transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Pass the server URL directly to the agent's MCP configuration. CrewAI handles the connection and tool registration for your agents.

Yes, agents within the same crew share memory. Once one agent fetches data, the rest of the crew can act on that information.

Your agents can be assigned specific roles like researcher or analyst. They use the server tools to fulfill those responsibilities independently.

It functions perfectly in hierarchical setups. You can delegate tool usage to specific agents at any level of your team structure.

The server operates in a secure sandbox. Only the public chess datasets are retrieved, keeping your agent environment private and free from external exposure.

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