Advanced Token-Optimized Object Notation MCP server that compresses JSON with up to 85% token reduction using AI-powered pattern detection, providing lossless compression and decompression through 12 MCP tools.
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.
Semantic React/TSX analysis MCP server that saves 70-90% tokens by using AST to retrieve precise component usages, prop flow, and state update information for AI coding assistants.
MCP server that reduces AI agent token usage by up to 90% through intelligent context compression. Enables efficient code exploration, multi-file refactoring, and debugging by providing tools for smart reading, searching, and managing code context.
Local MCP server for token optimization, providing tools to compress code/JSON, optimize prompts, and manage placeholder-based content redaction and hydration to reduce LLM token usage.
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.
