wess09

wess09 / AzurPilot

Public

AzurLaneAutoScript 的修改版 AzurPilot

45
10
69% credibility
Found May 22, 2026 at 45 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

AzurPilot is an open-source automation tool for the mobile game Azur Lane, based on the AzurLaneAutoScript project, featuring image recognition, game automation, and various enhancements, with code partially generated by AI.

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AI-Generated Review

What is AzurPilot?

AzurPilot is a Python-based automation tool for the mobile game Azur Lane. It runs on an emulator, watches your screen, and plays the game for you—handling everything from campaign farming to resource management. The project is a heavily modified fork of AzurLaneAutoScript, adding a GUI dashboard, MCP server integration for AI agents, custom OCR models trained on game UI, and quality-of-life features like scheduled emulator restarts and remote SSH management.

Why is it gaining traction?

The MCP server is the real hook here. Most automation tools give you a static script; AzurPilot gives you an API. You can query instance status, trigger tasks, update configs, and grab screenshots from AI agents or custom tools. The built-in LLM error analysis feature is also clever—when something breaks, it calls a language model to explain why. The custom PaddleOCR models (97-99% accuracy on game text) mean fewer recognition failures than generic solutions.

Who should use this?

If you're an Azur Lane player who spends hours grinding campaigns, this saves real time. If you're an AI developer or power user, the MCP interface lets you build custom workflows—maybe a chatbot that tells you your fleet's oil reserves or triggers a grind session. It's not for casual players; setup requires emulator configuration and understanding the scheduler.

Verdict

At 45 stars with self-admitted "VibeCoding" origins and a 0.699% credibility score, this is an experimental project from a small maintainer. The feature list is impressive and the MCP integration is genuinely useful, but documentation and stability aren't guaranteed. Try it if you're comfortable with rough edges and want the automation features—no harm in experimenting, but don't bet on it for mission-critical use yet.

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