"Jetpack Compose" matching MCP servers:

Agent-agnostic persistent memory backend. 13 MCP tools, Supabase + Jina embeddings, multi-profile isolation, semantic recall across sessions.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

Code-pinned team memory for AI coding agents — typed artifacts (Decision/Analysis/Debug/Task), MCP-native workflow, self-host with Docker Compose.

An enterprise MCP server that exposes 16 standardized tools for document intelligence, RAG, knowledge graph, SQL analysis, LLM evaluation, cost estimation, and AI architecture design, enabling AI agents to securely access and compose enterprise AI capabilities.