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MCP servers tagged context-compression
42 live MCP servers tagged "context-compression", ranked by trust score. Tags come from package metadata and repository topics, so this list covers servers across every category that work with context-compression.
Prompt Optimizer MCP
The prompt linter for LLM applications. Score, analyze, and standardize prompt quality. Open-source MCP server + Node.js API.
Lean Ctx
Hybrid Context Optimizer — Shell Hook + MCP Server. Reduces LLM token consumption by 89-99%. Single Rust binary, zero dependencies.
Tokless
An effective and efficient coding-agent setup in under 30 seconds: best tools, unified instructions, any OS.
Headroom Zed
Zed extension for Headroom — context compression for AI agents
Lcc
Compact coding-agent context without summarizing it away. Verbatim, offline, with a receipt and recall for every cut. CLI, MCP server, Claude Code plugin. MIT.
DevProjex
Build safe, token-efficient codebase context for LLMs, AI chats, and coding agents — local-first GUI, TUI, CLI, and a read-only MCP server with Smart Ignore, secret/PII redaction,…
Context Diamond
Auditable context capsules for LLM handoffs, coding agents, and OpenCode MCP workflows.
Fak
Agentic Runtime
TokenPack
TokenPack packs long documents, codebases, PDFs, and folders into compact, evidence-dense LLM context using local embeddings, evidence scoring, and budget-aware selection.
CookieGli
🍪 High-density codebase genome compressor (≤600 tokens) & Bayesian Darwinian memory evolution for autonomous AI agents.
Nxm Memory
Local memory + semantic search for AI agents. Indexes code and documents on your machine, queryable via MCP. Private, offline, fast. macOS arm64 + Linux x86_64.
Contextkit
Verified skill marketplace for AI agents. Turn proven IDE work into tested, cloneable skill repositories, publish through MCP, and earn USDC from x402-powered sales.
Brain
Local-first MCP server that tells coding agents which files to read, and how sure it is. 97% Hit@10 on Java (SWE-bench Multilingual), 89% on Python (SWE-bench Lite), zero LLM cost…
Guard
🛡️ Ultra-fast local security firewall, secret sanitizer, and context token compressor for Claude Code, Cursor, and MCP AI agents.
Sensei
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/Anthrop…
Simem
simem — Super Intelligence Memory for AI coding agents. Local project memory shared across Claude Code, Codex and Cursor (every account, every worktree), and fewer tokens per sess…
Agent Native Format
Token-minimal system views for AI agents. Translate Kubernetes and live state into compact Agent Native Format with Go tooling and governed execution primitives.
Myelin
The neural insulation layer for AI coding agents. 93% token reduction, 6× longer sessions. Serena + Semble + Headroom + RTK + mem0 in one installer.
Mnemosyne Engine
A production-grade LLM context compression and retrieval engine built entirely on the Python standard library. It solves the single biggest bottleneck in LLM agent effectiveness:…
Tencentdb Offload
Hermes Agent ContextEngine plugin — multi-layer context compression via TencentDB Gateway offload V2 API. Feature-complete alignment with official OpenClaw implementation.
Compress Tokens
MCP server that compresses text by removing unnecessary tokens using local LLM surprisal scoring
Codex Agent Mem
Local-first Model Context Protocol (MCP) memory layer for Codex CLI/Desktop, Claude Code, Gemini CLI, Qwen/DeepSeek/Ollama and agent workflows. SQLite + FTS5 compact context packs…
SaveContext
Git LFS for your LLM context — 20x Context Savings — an MCP server that keeps big documents out of the model and returns byte-exact quotes for a fraction of the tokens.
Knitbrain
The local-first brain for coding agents: project memory + workflow intelligence + lossless ~50% context savings. MCP server + LLM proxy, zero cloud.
Lm Resizer
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…
Guppi
GUPPI (General-purpose Unifying Pluggable Intelligence) — Local agentic sidecar daemon, Lossless Semantic Tree memory engine, and telemetry deck.
Capsule
Codex plugin MCP server (codex-plugin-mcp) for token efficiency, token reduction, context compression: exact-recoverable terminal, file, project, web, memory.
Furl Ctx
Context compression for AI agents — cut token usage costs with retrievable CCR compression. Rust core + Python API, Claude Code & Codex plugin, MCP server. PyPI: furl-ctx
Agentflare
Run AI coding agents efficiently, and coordinate more than one of them. Zero fluff, zero runtime deps.
Syntavra
Adaptive context and runtime optimization for coding agents—reducing token waste, externalizing tool output, preserving exact session history, and enforcing secure tool routing.
Contextomizer
Contextomizer is an ultra-fast, deterministic library for transforming bloated tool outputs, raw APIs, documents, and messy logs into perfectly optimized context for AI Agents 🤖🚀
Winnow
Local-first context compression for AI agents — content-aware, reversible, zero runtime deps. Cuts agent token usage 40-95% while keeping the signal.
Graphsift
Token Saver for Claude, GPT-5 & Gemini. 80-150x code context reduction, F1 0.85. AST dependency graph, ranked context selection, 19 CLI compressors, MCP server, agent memory. Save…
Cycgraph
Agent context compressor and memory persistent orchestration
Session Migrator
A cross-agent session memory migration layer: migrate or compress a conversation based on the target model's context window. MCP server + Python library.
Lelouch
⚡ Absolute command over your AI agent's token budget — local-first compression of noisy tool output before it reaches the model. Claude Code / OpenCode / Codex / Gemini.
Nuxs
Up to 99% token savings on AI agent context. Free. Provider-agnostic (Claude, Cursor, Codex, Cline, any MCP agent). 91.62% over 626.8M auditable tokens. Try: nuxs.ai/playground
Meshmind
A single MCP server merging local codebase mapping, recency research, and token compression for AI agents.
Context Squeeze
Deterministic context-compression MCP server for Claude: squeeze codebases, files, and logs to fit token budgets using tree-sitter and tree-walking — no LLM in the loop. (Rust)
Codeaware MCP
MCP server for Claude Code, powered by the v4 semantic runtime: builds persistent, budget-aware repository intelligence from AST/graphs, serves bounded context packages, preserv…
Agentic Context Compression Framework
Rust MCP server for lossless agent-context compression, reducing token usage while preserving retrieval accuracy.
Tokenslim MCP
MCP server exposing tokenslim_compress / tokenslim_retrieve / tokenslim_stats tools.