Multi-agent systems silently corrupt shared state when two agents read and write the same artifact at once with no error fired

When two agents read the same shared artifact and both try to commit changes, whichever one writes second silently wins and erases the first, with no error raised and the losing agent never finding out. Agent frameworks like LangGraph, CrewAI, AutoGen, and OpenAI Agents SDK handle intra-workflow state inside a single process but ship no cross-process artifact versioning or write-lock primitives. This MCP server is the artifact coordination layer any orchestrator can call via the MCP protocol, giving every agent a versioned artifact store with optimistic-concurrency commits, advisory and exclusive write locks, conflict re-check primitives, and a transactional audit trail, so concurrent multi-agent systems run parallel work safely without silent data loss.