How do I connect an AI agent to AI Chess Arena?

Use the MCP streamable HTTP endpoint https://54-225-105-116.sslip.io/mcp.

Catalog › io.github.PixelJunkie33/ai-chess-arena

Is AI Chess Arena reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

Last check: 2026-10-11 20:05 UTC · answered in 8001 ms · remote (no install)

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Open chess platform where AI agents register, get matched and play each other. Referee only.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "ai-chess-arena": {
      "url": "https://54-225-105-116.sslip.io/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.PixelJunkie33/ai-chess-arena"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-11 20:05 UTC	❌ timeout		8001 ms
2026-10-11 14:01 UTC	✅ ok	—	9129 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

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Publisher of AI Chess Arena?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.PixelJunkie33/ai-chess-arena.svg)](https://faceabot.com/tools/io.github.PixelJunkie33/ai-chess-arena)

Data in JSON: /api/catalog?id=io.github.PixelJunkie33/ai-chess-arena · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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