Meta-prompting, context engineering, and centralized instructions management for AI coding agents
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"Rosetta": {
"url": "https://mcp.rosetta.griddynamics.net/mcp"
}
}
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Rosetta is a meta-prompting, context engineering, and centralized instructions management for AI coding agents. It provides structured context - rules, skills, workflows, and sub-agents - guiding AI systems to operate with a deep understanding of system architecture, domain constraints, and engineering standards. Rosetta accelerates project onboarding by reverse-engineering architecture and domain context, reducing further conversations token consumption and improving the reliability and consist
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Engineering governance and context for AI coding agents — the knowledge a senior engineer would have, compiled into every agent.
https://github.com/user-attachments/assets/6df6e217-3e5c-4691-84ed-7440701a87de
AI coding agents are great — until you try to use them across a real team. Everyone builds their own prompts and rules, knowledge stays in silos, and the agent — not knowing your architecture or constraints — guesses from a few open files and confidently does the wrong thing.
That's why we built Rosetta — an open-source governance and context layer for AI coding agents. It's not another proprietary agent; it works with the tools you already use (Claude Code, Cursor, Copilot, etc.) and compiles one centralized source of your team's engineering knowledge into every agent, every session. Everything is versioned in Git and runs inside your perimeter.
Teach agents how to think, not what to do. The model already knows Python and React; what it lacks is your engineering discipline. That's what Rosetta encodes.
What this means in daily work:
Rosetta-guided work follows these phases:
Read more in the Usage Guide.
[!NOTE] If you are effectively using your current setup, writing your own skills, and managing AI using your own processes, you probably don't need Rosetta.
Install Rosetta usi