SOMA is a marketplace for MCP (Model Context Protocol) services, built for AI agents that need to integrate, coordinate, and execute reliably at scale. The first service live on SOMA is Somarizer, with more MCP services in the pipeline.

MCP stands for Model Context Protocol, an open standard for connecting AI models with external tools, data sources, and execution environments. It gives AI agents a consistent way to exchange context and take action across different systems. SOMA delivers MCP services as a continuously optimized layer, so teams plug in performance instead of building it from scratch.

Context Compression is the process of reducing the number of tokens an AI model needs to produce a given output, while preserving the quality of that output. Fewer tokens translate directly into lower costs, faster responses, and more usable space inside any context window. For production AI workloads, the savings compound with every request.

Right now, SOMA has one live tool: SOMARIZER - a context compression service for AI agents and LLM applications. It plugs into existing pipelines and shrinks input tokens without compromising downstream task performance. More tools are in the works and coming soon.