A persistent todo list server that enables AI assistants to manage tasks across different platforms using the Model Context Protocol. It provides tools for creating, listing, updating, and deleting todos with support for priorities, tags, and due dates.
A self-hosted backlog tracker with priority scoring and an MCP server, enabling AI agents to autonomously pull, work on, and update tasks via JSON-RPC tools.
Local-first MCP server providing a shared, AES-256-GCM encrypted SQLite ledger of structured user state (stack, projects, preferences) that any MCP-aware tool can read/write, with user-held keys and optional zero-knowledge sync.
