Integrate Lichess.org Open Chess Intelligence with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet daily puzzle on Lichess.org Open Chess Intelligence
Get the Lichess puzzle of the day
Get leaderboards on Lichess.org Open Chess Intelligence
Get top player rankings for all variants
Get player data on Lichess.org Open Chess Intelligence
Get public data for a Lichess player
Get team members on Lichess.org Open Chess Intelligence
List members of a Lichess team
Get tv channels on Lichess.org Open Chess Intelligence
). See who is playing live on Lichess TV
Get user activity on Lichess.org Open Chess Intelligence
Get recent activity log for a player
Get user games on Lichess.org Open Chess Intelligence
Get match history for a player
Get users online status on Lichess.org Open Chess Intelligence
Check if multiple users are online
List broadcasts on Lichess.org Open Chess Intelligence
List ongoing official tournament broadcasts
List live streamers on Lichess.org Open Chess Intelligence
List chess streamers currently live
Security & Code Integrity Audit
Every tool in the Lichess.org Open Chess Intelligence MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can my AI agent actually monitor a specific world championship game as it happens?
Yes! Use the list_broadcasts tool to find the tournament and then identify the specific match ID. The agent will retrieve technical updates and moves directly from the Lichess official transmission feed.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Lichess.org Open Chess Intelligence Capabilities for AI Assistants
This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.
Next-Gen chess Operations
The Lichess.org Open Chess Intelligence toolkit translates Claude's commands into chess operations. The MCP server ensures accurate delivery within the artificial intelligence ecosystem.
Claude Code Integration for real time data
The Lichess.org Open Chess Intelligence toolkit provides AI native integration for real time data. It structures data so Claude Code can accurately process artificial intelligence requirements.
Lichess.org Open Chess Intelligence. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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