You've probably asked ChatGPT a question about a game you're playing -- "is this item worth keeping in D2R," "why is my Factorio base bottlenecked," "how does this card interaction work in Magic," -- and the answer was hallucinated. The training data is stale, and the gaps get filled with plausible-sounding nonsense.
I built Savecraft to fix that. It's an open-source MCP server that reads your actual game saves and feeds ChatGPT real game data instead of letting it guess.
For example:
- Diablo II: Resurrected — "Is this rare armor worth keeping? Where should I farm Skin of the Vipermagi at 81% MF?" Reads your
.d2ssave and hits real drop tables. - Path of Exile — "Audit my tree for dead weight. Swap Void Manipulation for Concentrated Effect — what's the DPS delta?" Drives headless Path of Building over your actual build, returns real calc numbers.
- Magic: The Gathering Arena — "How did I do on my last draft?" Reads your Arena logs, evaluates every pick against 17Lands data + Frank Karsten's mana math, flags the misses.
- Factorio — "Why is my green science backed up?" Reads your blueprints and recipe state, diagnoses production ratios with real numbers.
- RimWorld — "Why does my shooter keep missing?" Reads your pawn skill matrix and explains what's going on.
- Stellaris — "What's going on with my economy?" Reads your empire state and walks the actual chokepoints.
Also supported: WoW, Stardew Valley, Clair Obscur: Expedition 33.
Here's what it looks like in practice:
Reference modules do the real math -- drop rates, Path of Building, rules lookups, recipe ratios. The LLM asks for real numbers and gets them, and the LLM explains the result. It never invents numbers because it never gets to.
No install for most games -- paste a build link or connect via OAuth and ask. D2R, Factorio, and a few others need a 30-second daemon install.
Savecraft is free and open source. Grab it at savecraft.gg -- GitHub link on the homepage.
Am I missing a game you'd like? Run into a problem? Let me know, I'd love to fix it!
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