MCP server for Umtri — give your AI coding agent a persistent map of your project's structure, dependencies, and bugs.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.
AI session memory: the brief your AI reads before every session so no session starts cold.