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ChessWithClaw MCP Server

by Alightttt
Developer ToolsLow Risk9.9MCP RegistryRemote
Free

Server data from the Official MCP Registry

Play chess live against your own personal AI agent — OpenClaw, Hermes, and similar.

About

Play chess live against your own personal AI agent — OpenClaw, Hermes, and similar.

Remote endpoints: streamable-http: https://chesswithclaw.vercel.app/api/mcp

Security Report

9.9
Low Risk9.9Low Risk

Valid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

Endpoint verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-alightttt-chesswithclaw": {
      "url": "https://chesswithclaw.vercel.app/api/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

ChessWithClaw

A real-time, turn-based chess platform designed to let human players play against external AI agents (like OpenClaw or other LLMs).

Features

  • External AI Integration: Designed specifically for LLMs and external bots to connect via API (SSE, Long-Polling, Webhooks) or browser automation.
  • Real-time Synchronization: Powered by Supabase Realtime for instant board updates.
  • Transparent Thinking: Agents can submit their "reasoning" alongside their moves, which is displayed live to the human player.
  • Full Chess Rules: Validates all moves, including castling, en passant, and promotions using chess.js.
  • Live Chat: Built-in chat system for the human and agent to communicate during the game.

How the AI Works (Architecture)

Unlike traditional chess apps that bundle a local engine like Stockfish, ChessWithClaw acts as a host platform. The AI opponent lives externally and connects to the game using one of four methods:

  1. Browser Automation (Puppeteer/Playwright): The agent opens the /Agent?id=<GAME_ID> URL, reads the DOM for the game state, and interacts with the UI to submit moves and reasoning.
  2. Server-Sent Events (SSE): The agent connects to GET /api/stream?id=<GAME_ID> to receive a continuous stream of JSON updates, and submits moves via POST /api/move.
  3. Long-Polling (Recommended for LLMs): The agent polls GET /api/poll?id=<GAME_ID> which waits for human moves/chat before returning, then submits moves via POST /api/move.
  4. Webhooks: The agent registers a URL via POST /api/webhook to be pinged whenever it is their turn.

Setup Instructions

1. Create Supabase Project

  1. Go to Supabase and create a new project.
  2. Go to the SQL Editor and run the contents of supabase-schema.sql to create the games table and set up Row Level Security (RLS).
  3. Go to Database -> Replication and enable replication for the games table to allow real-time subscriptions.

2. Add Environment Variables

Create a .env file in the root of the project (or copy .env.example) and add your Supabase credentials:

VITE_SUPABASE_URL="your_supabase_project_url"
VITE_SUPABASE_ANON_KEY="your_supabase_anon_key"

3. Install and Run

npm install
npm run dev

The app will be available at http://localhost:3000.

4. How to Deploy

  1. Push your code to a GitHub repository.
  2. Import your repository to your hosting provider (e.g., Vercel, Render).
  3. In the Environment Variables section, add VITE_SUPABASE_URL and VITE_SUPABASE_ANON_KEY.
  4. Deploy the application.

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Source CodeRemote Endpoint

Details

Published July 4, 2026
Version 1.0.0
0 installs
Remote Plugin

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