token-efficient

Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.

Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python. Up to 200X Cost Saving!

The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing

Token-efficient MCP CLI client. 97% less tokens on tool discovery, 40-60% on results. Zero deps. Cross-platform. Works with every AI agent.

Free-first Chinese and English web search MCP using zero-key sources and inspectable evidence.

NTK — 基于信息密度路由的多智能体框架。用最少的 token 做最多的事。

OpenCode agent configuration — a read-only orchestrator delegates to 6 specialized subagents. Expert model plans, fast models execute. Isolated contexts, minimal permissions, adversarial verification built in. Ready to drop in.

苹果 MCP 工具 ✅

Token-efficient CLI for Atlassian Server/DC (Jira, Confluence, Bitbucket) — drop-in alternative to mcp-atlassian for LLM agents. Compact output, lossless XHTML<->Markdown round-trip, Claude Code + Codex + GitHub Copilot integration.

AI model that animates any SVG into Lottie with 3-4x fewer tokens than OmniLottie (CVPR 2026). Upload SVG → get animated .lottie. 3B model, runs on 5GB VRAM.

Code intelligence for agents: find the code that matters and keep your context window and tokens lean.

ISONGraph is a multi-language property graph library designed specifically for LLM and AI applications. It provides the most token-efficient way to represent graph data in LLM context windows while maintaining high accuracy for graph-based reasoning tasks.

让 Agent 高效又守纪律 — 不止省 token：ZeroToken 压缩无效上下文/推理/输出；尉缭子十原则约束权限边界、单一指令、先谋后动、验证先于结束；附 Unicode 编码规范、搜索规范、六种任务模式。More than token savings: ZeroToken efficiency + AI coding discipline for Reasonix / Codex / OpenCode / Hermes

Token-efficient codebase maps for AI IDEs. Parses Python, TypeScript & more with tree-sitter, builds a ranked dependency graph, and exposes it via MCP to Cursor, VS Code, and Claude Desktop.

让 Codex 秒级、低 token、安全地读写 macOS 微信 | Fast, token-efficient WeChat bridge for Codex

Token-efficient stochastic testing for AI agents. 5-20x cost reduction. 10 framework adapters. Paper: arXiv:2603.02601

AI系统结构化因果逻辑框架——可审计、可追溯的推理，无需替换现有模型。守真·稳态（KISS's Law）。极省Token，与黑箱共存。

A lightweight, vendor-neutral AI memory tool for human–AI collaboration that turns a clear, shared vision into deterministic delivery with near-zero drift.

Token-efficient CLI output formatting for LLM agents

LONTAR (Layered Orchestration of Narrow-context Templated Agents & RAG). A token-efficient, multi-persona AI agent methodology for Claude Code: specialized experts (architect, backend, frontend, UI/UX, QA, DevOps), chunked knowledge, and reusable templates. Inspired by Indonesian palm-leaf manuscripts.