Ten

Ten is an MCP (Model Context Protocol) server that exposes a mathematically rigorous language for machine-to-machine communication, focusing on the formal algebraic encoding, decoding, composition, and verification of AI messages. Rather than using natural language or JSON, Ten allows machines to exchange data through algebraic messages, facilitating efficient, unambiguous, and sortable communication at scale. Its core capabilities include composable message types, sortable and computable metadata (like urgency and trust), and an evolving, self-optimizing vocabulary for AI agent applications. It is designed for developers, platform engineers, formal language theorists, and those building AI agent ecosystems or protocol-level AI infrastructure.