The Problems You Face
Sound familiar? These are the challenges game programmers & technical designers deal with every day.
Stale design context
You implement from memory or a screenshot pasted in Slack last week. The GDD was updated since then, but you don't know that.
Manual stat extraction
Copying character stats, damage formulas, and drop rates from design docs into code is tedious and error-prone.
Design-code drift
Over time, code diverges from the design spec. Nobody notices until QA finds a bug or a designer asks why the Mage does 35 damage instead of 25.
Context-switching tax
Tabbing between your IDE, the browser, and three different docs to find the right value breaks your flow.
How Gameframe Solves This
Purpose-built features for game programmers & technical designers who need more than a general-purpose tool.
MCP server for AI coding tools
Your AI assistant reads documents, entities, and versions directly from GameFrame. No copy-paste. Live data.
Entity search
Ask about a character, item, or mechanic by name — get structured stats and every document that references it.
Version comparison
See exactly what changed in the design since your last sprint. Your AI can diff two versions and summarize the impact on your code.
JSON/CSV export
Export balance data in engine-ready formats. Import directly into Unity, Unreal, or Godot.
Your Workflow with Gameframe
From setup to shipping, here is how it works.
Connect MCP server
Add 3 lines of JSON to your project's .mcp.json and set your API token.
Ask your AI about the design
Prompt: 'What are the Mage's stats according to our GDD?' Your AI calls gameframe_search_entities.
Implement with live context
Your AI reads the full document content and generates code that matches the approved design values.
Push feedback back
Found a design inconsistency? Your AI calls gameframe_create_change_request to log it in the quest log.
Frequently Asked Questions
Common questions from game programmers & technical designers.
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