Best Compression AI Skills & MCP Servers

Reduce Claude Code token usage by 70-90% with cross-session memory and four-layer optimization: semantic codebase indexing, PostToolUse tool compression, turn summarization, and session consolidation. MCP server powered by Ollama — zero API calls, runs en

Screenshot capture, AI analysis, OCR, visual regression testing, token compression — headless server + MCP tools for AI coding CLIs

MCP server for analyzing and optimizing context window token usage — audit tool definitions, compress schemas, track usage, and reduce bloat

MCP server for Tinify image optimization — one tool, max optimization

AINative ZeroDB MCP Server - 77 operations for vector search, quantum compression, NoSQL, dedicated PostgreSQL management, files, events, RLHF, and persistent memory for AI agents with enterprise security. All tools annotated with readOnly/destructive/ide

Powerful MCP server with Tree-sitter WASM parsers for 100% AST accuracy. Zero native dependencies. Production-ready with persistent caching, structured logging, file watching, fuzzy search, rate limiting, file locking, and ReDoS protection. Supports TypeS

Unified AI coding agent with MCP integration for Claude, VS Code, and Kiro IDE. Features persistent knowledge graph via OverdriveDB, token compression (60-80%), multi-model switching, and shared/independent project modes.

JD Codec — local MCP proxy that compresses browser-agent snapshots ~80%+ via a cloud codec, with on-device PII redaction. The privacy-first connector for Playwright MCP and any MCP-capable agent.

MCP server that reduces agent token usage by 90% with intelligent context compression, task checkpoint persistence, and workflow-aware agent guidance.

Keep your AI agent context small and cheap by managing tool bloat and large outputs.

Intelligent context window optimization for Claude Code - store content externally via caching and compression, freeing up your context window for what matters