Best Compress AI Skills & MCP Servers

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

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

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

MCP proxy that compresses prose fields (tool descriptions, etc.) using caveman rules. Same accuracy, fewer context tokens.

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.

Composite brick — orchestrates smartread, cache, compress, tokenbudget, and overview to deliver optimal context within a token budget.

Pack files into a compressed context bundle — reduce token usage by extracting only signatures, maps, or full content.

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.

Compress text output to save tokens — strip comments, collapse whitespace, abbreviate patterns.

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.

Shell command execution — run commands, background processes, kill, and compress output.

Convert any webpage to clean markdown and feed it directly into AI agent workflows. Why This Matters? Adding webpages to LLM conversations usually means dumping raw HTML, bloated with ads, scripts, and formatting noise. This MCP integrates compress.new into MCP-compatible AI ag