Rust MCP server for lossless agent-context compression, reducing token usage while preserving retrieval accuracy.

Pre-injection context compression and session deduplication for AI coding agents: squeeze tool output, code, JSON and logs before they reach the LLM

Context compression and planning for RAG and AI agents: fit retrieved documents, chat history and tool output into a token budget.

Context-Engine MCP - Agentic Context Compression Suite

Session-scoped knowledge graph engine for AI chat context compression

Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client. Rust, zero LLM calls.

Lossless-by-default context compression for LLM coding agents — HTTP proxy, CLI, and MCP server.

Agent Intermediate Language (AILv1): Zero-loss AI context compression protocol, AST signature extractor, and MCP server that cuts LLM handoff tokens by 85–95%.

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

Claude Code context engine — pack, compress, and optimize any codebase for AI. Save 60-90% tokens.

Context compression plugin for Claude Code. Automatically trims large tool output—JSON, YAML, stack traces, and logs—before it enters the context window.

Smart Context Engineering Gateway for AI agents: lossless tool-output compression, episodic memory folding and a reversible diet_ref vault (MCP server + OpenAI/Anthropic proxy + local dashboard)

Codex plugin MCP server (codex-plugin-mcp) for token efficiency, token reduction, context compression: exact-recoverable terminal, file, project, web, memory.

Rust-native context compression for Claude Code, Codex & MCP agents: filters & compresses noisy tool output (tests, diffs, logs, JSON, provider traffic) before it reaches the LLM — fewer wasted tokens, full evidence recoverable. Local-first, Apache-2.0. Pairs with Code Explorer.

Lossless-by-default context compression for LLM coding agents — proxy, library, CLI, and MCP server. Local-first, cache-correct, reversible.

See more code. Get better answers. Context optimization MCP server for LLMs — compresses code structurally so models can reason over entire files without losing logic.

AI context engine for Claude Code, Cursor, Windsurf — pack, compress, and optimize any codebase. Save 60-90% tokens. Web dashboard on port 7456.

Measure what context compression actually costs an LLM agent: where a session's tokens go, and whether a rewrite pays for the prompt cache it invalidates. Rust crate, MCP server and benchmark harness.

Verified context for AI coding agents. A local context layer that intelligently compresses, filters, indexes, and verifies AI coding-agent tool output. 32 MCP tools across 10 layers: code intelligence (tree-sitter, 30+ languages), context selection, tool

A Model Context Protocol server for ZIP compression using fastMCP and zip.js

Long-term memory for AI agents with no LLM call: an MCP server and Claude Code plugin, plus local-first context compression for LLM apps.

Zero-dependency, fully-reversible context compression for AI agents — cut LLM token usage up to 94% (JSON tabularization, log template mining, query-aware code skeletons). Stdlib-only, air-gap ready, built-in MCP server.

Turn any folder or Git repo into safe, token-efficient context for LLMs, AI chats, and coding agents like Claude Code, Codex, and Cursor — local-first GUI, TUI, CLI, and a read-only MCP server with Live Context, agent journal, Smart Ignore, secret/PII redaction, Git scopes, and code compression. Windows, macOS, Linux.

Reversible, structure-aware context compression engine for LLM agents (Rust) — cuts token cost of tool outputs, JSON and logs. Deterministic, sans-io, zero network.

Context selection and compression for AI agents — with the recall measured, not claimed. One file, no dependencies.

Model Context Protocol server for CyberChef — exposes GCHQ's "Cyber Swiss Army Knife" as AI-agent tools: 504 operations across encryption, encoding, compression and forensics, on MCP protocol revision 2026-07-28

Model Context Protocol (MCP) server for image resizing, conversion, compression and watermarking. Resize, convert, compress and watermark images, pure JavaScript. Works with Claude Desktop, Claude Code and Cursor.

Unified local gateway: LLM cache + compressed context drawer, in a single MCP server

MCP Server for AI Books - Universal LLM context extension via gravitational memory compression

MCP server for context window optimization — audit token budgets, compress schemas, optimize tool loading

Token and context optimization for AI coding agents with smart compression, retrieval, recovery, routing, and MCP integrations.

AI codebase context tool that analyzes, ranks, and compresses repositories into optimized context files for LLMs, AI coding assistants, and MCP workflows.

Local-first memory layer for AI agents. Compresses context with a local LLM, indexes it with hybrid search, and serves it over MCP.

Symbolic Context Virtualization Protocol — a local-first, deterministic tool that lets an LLM navigate and edit a repository through a compressed, lazily-expandable symbol graph instead of full source files

🔒 A sandboxed, read-only MCP server that safely exposes system health, Docker diagnostics, and log intelligence to AI agents like Claude — with strict path whitelisting, context compression, and zero write access. It sees everything, touches nothing.

Anchored memory MCP server for AI coding agents — binds decisions to code symbols, delivers context just-in-time. Works with Claude Code, Codex CLI, Cursor, Windsurf, Gemini CLI. No ML required. One SQLite file. 56x token compression.

Total recall for Claude Code. MCP server that indexes conversation history into SQLite — search past sessions, recover context after compression, and give parallel agents visibility into each other's work.

The Autonomous Context Firewall & MCP Server for AI Coding Agents. Compress noisy test logs by 90%+ and extract Python AST skeletons at 0 LLM tokens.

An MCP (Model Context Protocol) server that exposes all features of the zstar archive utility. It allows AI assistants to create, extract, verify, encrypt, and sign compressed archives through a standardized tool interface. The server uses stdio transport, compatible with OpenClaw, Claude Desktop, and any other MCP client.

REST + MCP context-compression layer for Japanese institutional public data. jpcite turns long PDFs, official pages, and search results into compact Evidence Packets with source URLs, fetched timestamps, known gaps, and compatibility/exclusion rules before downstream AI agents draft answers. 3 yen/billable unit metered (3.30 tax-incl), anonymous 3/day per IP free.

图片无损压缩与OSS上传MCP工具，可以让AI将项目中的图片资源无损并上传至阿里云 oss 用 cdn 链接替换图片资源

First MCP server for data compression. 60x compression on docs, 30x on SQL, 20x on logs. Zero dependencies. Lossless. Auto-picks best algorithm. 7 tools for any AI agent.

Local MCP server: compress images/videos and prepare media for AI vision agents (paths only, no base64). Claude, Codex, and other MCP clients.

MCP server for image-and-video-compressor — lets coding agents compress images and videos, probe media, and discover what the local ffmpeg and sharp builds actually support.

MCP Server for SlimContext - AI chat history compression tools

Local image tools as an MCP server: compress PNG/JPEG with a visually-guarded smart mode or true lossless mode, and convert/resize images to marketplace presets (Amazon, Google Shopping, eBay) with the output rechecked against the platform rules. Same eng

MCP server for Tinify.dev — image compression for AI agents

Reduce Claude Code token usage by 70-90% using a free local LLM (Ollama). MCP server + Stop hook with codebase indexing, tool output compression, and turn summarization.

Autonomous AI agent tool and MCP server for semantic token compression and L402 edge solvency clearance.

MCP server that cuts AI agent token costs by up to 97% — compression, caching, pruning, web extraction

MCP server for the Papyrio PDF API: compress, convert, merge, split and OCR PDFs from an assistant.

On-device image tools for AI agents (MCP): background removal, compression, resize, crop, AI upscale, metadata removal. Images never leave your computer.

MCP server for AgentReady: compress prompts with TokenCut and turn any URL into clean, token-light Markdown, inside Claude, Cursor, Windsurf and any MCP client.

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

Auditable context capsules for LLM handoffs, coding agents, and OpenCode MCP workflows.

Self-hosted AI workspace that compresses prompts before they leave your machine — 79% fewer tokens, measured. Drop-in gateway for Claude Code, Cursor, Aider and any OpenAI/Anthropic client, plus an MCP server. Free, MIT, zero telemetry.

MCP server for code context with semantic search, AI analysis and summary

⚜️ An MCP server for context compaction and recycling in Claude Code

Coding-agent orchestration and MCP context runtime with governed repository execution, bounded tool results, and multi-agent session management.

Transparent, verified computational mechanics, aerospace sizing, and rocket propulsion toolkit with Model Context Protocol (MCP) server.