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

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

Context optimization middleware for LLM agents — a dynamic tool registry, result masking, token budgeting and smart compaction, so a long session stays inside its window instead of failing for length.

Zero-dependency context & token optimizer for Claude Code, Codex CLI, and Google Antigravity. Cuts terminal output by up to 96.4% to prevent context window exhaustion.

Automated MCP discovery and context optimization for Claude Code. Save 90% of your context window with 5-minute setup and zero maintenance.

Cross-platform CLI toolkit and local MCP server for AI coding agents. Optimizes context windows and token consumption by turning raw outputs into compact, deterministic Markdown/JSON reports.

MCP to optimize Claude code context window and effectively scan large files and code

Context optimization middleware for LLM agents — a dynamic tool registry, result masking, token budgeting and smart compaction, so a long session stays inside its window instead of failing for length.

An enterprise-grade Model Context Protocol (MCP) Server v2 to dynamically manage, inspect, query, and optimize local SQLite databases directly through LLM chat sessions on Windows, macOS, and Linux.

Give AI coding agents a map before they read your code. Statically maps your codebase structure and dependencies, enriches components with LLM summaries, and links Git commits/Jira tickets to nodes. Optimizes agent context windows and token usage with compact, queryable JSON blueprints.

MCP Server that solves context window overload — smart tool pruning, relevance scoring, budget tracking for AI agents

High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed information, cutting token usage up to 50x. 100% local. Discord: https://discord.gg/39MFHu3J5d

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

JavaScript MCP Server — solve context window overload with smart tool pruning and relevance scoring

Secure memory & context optimization MCP plugin for Claude Code — drop-in replacement for context-mode with credential isolation, SSRF protection, MemGPT-style persistent memory, and A2A multi-agent broadcast channel

ContextCore: An MCP server for Claude (or any AI tool) that enables massive token saving through hybrid search (BM25 + Embeddings)

MCP server that analyzes your MCP setup: token costs per server/tool, grades, duplicate detection, optimization report

MCP server that analyzes your MCP setup: token costs, bloated schemas, duplicate tools, and optimization tips

Zero-dependency context window compressor, code signature folder, JSON minifier & token estimator for AI coding agents and MCP.

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

Shows what consumes your agent's context window before the conversation starts — skill descriptions, memory files and their imports, configured MCP servers. Read-only, MIT.

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

Progressive Skill Disclosure & Context Compaction Engine for Autonomous AI Coding Agents

Your AI forgets everything between sessions. This fixes that — 98%+ retrieval accuracy, 100% on LongMemEval, 99% token savings. 44 MCP tools. Fully local, zero cost.

High-assurance in-memory Tree-Sitter AST context firewall and pruning MCP server for coding agents (-72.4% token mass).

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

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.

Deterministic Architecture & Context Engine for AI Assistants (Cursor, Windsurf, Claude). Zero-hallucination AST code graph via Model Context Protocol (MCP).

One lazy MCP tool for every server and skill you own: a human-approved capability broker for any MCP client

Sip your tokens, don't gulp them. Keep Claude Code's context clean: drift detection, re-read dedup, integrity scoring, AST-aware reads, and 16 MCP tools for Claude Desktop.

MCP server that runs shell commands through RTK (Rust Token Killer), so Claude Desktop and other MCP clients get compact command output. Rust.

MCP server for Confluence: returns storage XHTML files to LLMs, reducing token usage and preserving macros/tables on updates.

Industrial-grade Excel Model Context Protocol (MCP) server for automated layout auditing and aesthetics engineering.

Local, automatic memory for Claude Code. Remembers past sessions in 0.7s for ~2.5k tokens instead of 211k. Nothing leaves your machine.

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.

Claude Code plugin for MinniMemoryMCP (npm: minnimemory), which cuts Claude Code and Codex token usage. Generated from release builds.

Cut the noise from command output before it reaches your AI agent. Errors always kept, full output one call away. MCP server + CLI for any agent. MIT.

Universal TP-Link Router Suite: Production CLI & MCP 2.x Server for AI Agents & Terminal Power-Users (Linux/macOS/Windows)

See what your MCP servers cost you in tokens — and cut it. Records every MCP tool call, itemises the per-session tax each server charges, and tells your coding agent what to remove. All local, zero config.

Request-path token proxy + analyzer for agent conversations. Live: cut 74% of input tokens on a real DeepSeek call (mcp-token-saver-proxy.fly.dev). MIT core, no-LLM, crypto-native Pro.

🌸 Your avatar, your atelier. AI-assisted VRChat avatar editor & Unity MCP server: outfits, wardrobes, BlendShapes, shader/material editing and optimization checks. VRChat 改模・换装・衣柜｜アバター改変・着せ替え支援。Windows / GPL-3.0.

Agent-optimized code feedback MCP server for JavaScript and TypeScript projects.

Fast, local-first Windows duplicate file finder, large file analyzer, and forgotten storage cleaner.

Fast local code search, source reads, and smart block-clamped context for AI coding agents. VS Code Native Language Model Tools & MCP server backed by a shared Rust trigram cache (Linux, Windows, WSL).

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

Call the Google Antigravity CLI (agy) headlessly from any non-TTY context — Windows ConPTY + POSIX pty + MCP server. Fixes the empty-output bug (#76).

⚡ High-performance linter, cache-layout optimizer, and garbage collector for AI agent instruction files (AGENTS.md, CLAUDE.md, .cursorrules) in Rust.

A powerful Model Context Protocol (MCP) server and Omni-AST engine. It empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules.

An AI-native MCP server that replaces raw SaaS CRUD calls with token-optimized semantic queries — pre-filtered, compressed insights for Todoist, Linear, Spotify, and Strava instead of raw data dumps.

🤖 Optimize social network interactions for AI agents with a lightweight Python server implementing the Model Context Protocol (MCP) for Bluesky.

Reference implementation of Anthropic's 'Code execution with MCP.' Reuses Claude Code's own sandbox and config to keep intermediate tool output out of the context window on every workflow — up to 99% fewer tokens.