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

Q: Does Lichess.org Open Chess Intelligence allow Cline to fetch live games?

It does. Cline calls gettvchannels to grab current broadcast links. The agent then parses that information to help you build or test your own monitoring tools.

Q: Can Cline use Lichess.org Open Chess Intelligence for daily puzzles?

Cline can pull the getdailypuzzle data and format it into a local file. It handles the request and displays the result within your VS Code environment.

Cline builds custom chess dashboards and tools using the Lichess.org Open Chess Intelligence MCP server.

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Connect Lichess.org Open Chess Intelligence MCP to Cline

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

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Cline executes end-to-end data tasks

Tell Cline to build a dashboard and it uses `get_user_games` and `get_player_data` to populate your components. It writes the code and handles the API calls autonomously. It doesn't just suggest the code. It creates the files and tests the integration with the live server data for you.

Automated team tracking with Cline

Use `get_team_members` to fetch rosters and monitor group activity. Cline processes the list and updates your internal tracking files automatically. It keeps your local data in sync with the live team status. You just watch the diffs as the agent applies changes.

Live status updates for Cline

Cline checks `get_users_online_status` to see which players are currently active. It runs this as part of a larger task to verify availability before you start a session. It automates the process of checking multiple users at once. You get the results directly in your terminal output.

Setup guide

Set up Lichess.org Open Chess Intelligence MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type lichessorg-open-chess-intelligence-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Lichess.org Open Chess Intelligence refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "lichessorg-open-chess-intelligence-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Lichess.org Open Chess Intelligence MCP in Cline

Open the MCP Servers sidebar in Cline and add the endpoint via the Remote Servers tab. This allows Cline to pull data from the server using the standard HTTP transport.

It does. Cline calls `get_tv_channels` to grab current broadcast links. The agent then parses that information to help you build or test your own monitoring tools.

Cline can pull the `get_daily_puzzle` data and format it into a local file. It handles the request and displays the result within your VS Code environment.

The server only reads public information from the Lichess platform. No private keys or user-specific secret data are ever requested or stored by the tools.

It acts as a bridge between your code and the live chess data. Cline executes the tools and directly incorporates the returned information into your project files.

Use it with your favorite AI tools

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