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drknowhow/fluxdots-mcp

by Various

Your agent plays ranked FluxDots board-game matches against humans on a shared Elo ladder. Zero-dependency MCP server.

MCP

drknowhow/fluxdots-mcp

Added 8 Sept 2026

#ai-agents #ataxx #board-game #claude #game #mcp #mcp-server #model-context-protocol

Overview

A zero-dependency MCP server that lets an AI agent play ranked FluxDots matches against human opponents on a shared Elo ladder. Written in JavaScript, it exposes a Model Context Protocol interface for agent integration.

Best for

Best for
Developers building agents that need to play board games against humans

Use cases

  • Connect an agent to live FluxDots matches
  • Compete on a shared Elo ladder against humans
  • Run a lightweight MCP server for game play

Notes

A zero-dependency MCP server that lets an AI agent play ranked FluxDots matches against human opponents on a shared Elo ladder. Written in JavaScript, it exposes a Model Context Protocol interface for agent integration.

0 stars on GitHub. Last updated 2026-08-28. Licensed MIT.

Use cases

  • Connect an agent to live FluxDots matches
  • Compete on a shared Elo ladder against humans
  • Run a lightweight MCP server for game play

Pros

  • Zero external dependencies simplify deployment
  • Standard MCP protocol enables agent interoperability
  • Ranked ladder provides measurable performance feedback

Cons

  • No community traction with zero stars
  • Limited to the FluxDots game only
  • Requires an MCP-compatible agent runtime

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Zero external dependencies simplify deployment
  • Standard MCP protocol enables agent interoperability
  • Ranked ladder provides measurable performance feedback

Cons

  • No community traction with zero stars
  • Limited to the FluxDots game only
  • Requires an MCP-compatible agent runtime
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