Semantic compression MCP server that reduces document token usage by 60-80% using structured symbolic notation, enabling Claude to efficiently store, retrieve, diff, and summarise documents across PRD, CODE, PAPER, and MEETING domains.
Provides reversible context compression for AI agents, reducing token usage while preserving the ability to retrieve original content, and serves as an MCP server for integration with tools like GitHub Copilot and Claude Code.
MCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.