How do I connect an AI agent to Warm Night Fishing (暖夜垂钓)?

Use the MCP streamable HTTP endpoint https://mcp.aevia.cloud/mcp.

Faceabot

Catalog › cloud.aevia/warmnight-fishing

Is Warm Night Fishing (暖夜垂钓) reliable?

Being measured Measurement in progress: 1 check(s) so far. A verdict needs at least 3 checks.

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

What it does

Free blind-play night-fishing game over MCP. Deterministic engine, zero LLM calls, save codes.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "warmnight-fishing": {
      "url": "https://mcp.aevia.cloud/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"cloud.aevia/warmnight-fishing"} 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
2026-10-06 10:50 UTC	✅ ok	—	8158 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.

Publisher of Warm Night Fishing (暖夜垂钓)?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/cloud.aevia/warmnight-fishing.svg)](https://faceabot.com/tools/cloud.aevia/warmnight-fishing)

Data in JSON: /api/catalog?id=cloud.aevia/warmnight-fishing · 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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