Codeturion

Codeturion / unity-api-mcp

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Instant, accurate Unity API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations

www.codeturion.me ai api-documentation claude cursor game-development
30
2
100% credibility
Found Feb 26, 2026 at 15 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A helper tool that equips AI coding assistants with precise Unity 6 game engine documentation to ensure accurate code suggestions without errors or outdated info.

How It Works

1
🎮 Struggling with Unity coding

You're building a game in Unity and your AI helper keeps guessing wrong details about game features, slowing you down.

2
🔍 Find the Unity helper

You discover a simple helper tool that gives your AI accurate info straight from Unity's official guides.

3
📦 Grab the helper

With one easy step, you add the helper to your computer so it's ready to use anytime.

4
🔗 Link it to your AI

You tell your AI assistant to use this helper by adding a quick note in its settings, making everything connect smoothly.

5
📝 Add project reminders

Drop a short note in your game project folder so your AI knows exactly when to check the helper for Unity facts.

6
❓ Ask your first question

Restart your AI tool and ask something like 'What's the right way to load a scene?' – it now thinks twice and checks facts.

7
✅ Get spot-on answers

Your AI instantly shares the exact feature names, steps, and warnings, saving hours of trial and error.

🚀 Code like a pro

Now you build your Unity game faster and with zero guesswork, as your AI always gives reliable advice.

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Star Growth

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AI-Generated Review

What is unity-api-mcp?

This Python MCP server delivers accurate Unity API documentation for versions 2022 LTS, 2023, and 6 directly to AI coding tools like Claude Code, Cursor, or Windsurf. It prevents AI hallucinations on method signatures, namespaces, deprecations, and overloads by querying a local SQLite database—downloadable on first run, no Unity install needed. Pip install it, add to your .mcp.json with a UNITY_VERSION env var, and tools like search_unity_api or get_method_signature respond in under 15ms.

Why is it gaining traction?

Unlike raw file parsing or outdated training data, it guarantees structured, version-specific answers in one call, slashing token use 15-65x per benchmarks (e.g., 30 tokens for a namespace vs 500+). Listed on the MCP GitHub registry, it integrates seamlessly with VSCode GitHub Copilot via MCP or Claude setups, plus examples and tutorials make setup dead simple. Offline queries and coverage of UnityEngine, Input System, Addressables beat generic AI guesses.

Who should use this?

Unity game developers using AI assistants in VSCode (GitHub Copilot MCP) or Cursor for C# scripting, especially those debugging deprecated APIs like WWW or FindObjectOfType. Solo devs or small teams on Unity 6 projects wanting fast namespace lookups ("SceneManager?") without flipping through docs. Ideal if you're automating Unity code gen with n8n workflows or managing MCP servers in Python.

Verdict

Grab it if you're on MCP-compatible AI and Unity—excellent README, PyPI packaging, and MIT license make it production-ready despite low 1.0% credibility from 14 stars. Early but battle-tested for token savings; file GitHub issues for custom versions.

(198 words)

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