AI Token Optimizer
An MCP server that cuts AI coding-agent token usage by 60–80% via framework-aware context optimization.
README
AI Token Optimizer
An MCP server that cuts AI coding-agent token usage by 60–80% via framework-aware context optimization.
<!-- mcp-name: io.github.shivam-app-developers/ai-optimizer -->
AI coding agents read whole files when they need 15 lines. They load *.g.dart,
R.java, node_modules/, and dist/ into context — then do it again next turn.
AI Token Optimizer is a Model Context Protocol
server that intercepts those tool calls and strips framework noise before it
reaches the model.
Works with anything that speaks MCP: Claude Code, Cursor, Cline, Continue, Zed, JetBrains AI, GitHub Copilot agent mode, Antigravity, Windsurf, OpenAI Codex CLI.
Quickstart
npm install -g @ai-optimizer/core
Then point your agent at the ai-optimizer stdio server. For Claude Code, add to
~/.claude/settings.json:
{
"mcpServers": {
"ai-optimizer": {
"command": "ai-optimizer"
}
}
}
Or scaffold the config and preview your savings automatically:
npx @ai-optimizer/init
# "we'd skip 47 files, ~14K tokens/session, ~$0.42/session at Sonnet pricing"
Full per-agent setup (Cursor, others), LSP install, and verification steps live in
packages/core/README.md.
What it does
It registers tools the agent uses instead of its built-in file/dir/error reads:
| Tool | What it saves |
|---|---|
optimized_read_file |
Framework-aware skip + optional line slice |
optimized_list_files |
Walks the tree applying ignore globs (+ .gitignore) |
optimized_grep |
Content search scoped by ignore filters |
optimized_diagnostics |
Spawns the right LSP, returns errors + a narrow code window |
read_symbol |
LSP workspace/symbol slice instead of a full-file read (Pro/LSP) |
strip_bash_noise |
Strips ANSI, npm/maven/gradle progress, JVM warnings |
optimizer_status |
Detected frameworks, active packs, cumulative tokens saved |
When a project type is detected (e.g. Python via pyproject.toml), the matching
pack's ignore rules activate automatically. .gitignore is respected on top.
Tiers
| Free (MIT core) | Pro ($9/mo) | Team ($29/seat) | |
|---|---|---|---|
| Framework packs | Python, JS/TS | + React, Flutter, Java, Kotlin, Go, Rust, C#, Swift, Ruby, Elixir, PHP, Solidity | all Pro packs |
| History compaction | — | ✓ | ✓ |
Scheduler (claude -p cron) |
— | ✓ | + work-stealing across providers |
| Audit log + secret redaction + policy | — | — | ✓ |
See PRICING.md. Behavior-changing or data-sharing features
(scheduler, work-stealing, telemetry) are off by default and require explicit
opt-in. Display-only features (dollar-value savings) default on.
Monorepo layout
| Package | Purpose | Published |
|---|---|---|
packages/core |
MCP server + free packs | npm (MIT) |
packages/init |
npx @ai-optimizer/init config + savings preview |
npm |
packages/sdk |
definePack plugin SDK |
npm |
packages/context-mode-import |
Import .contextmode configs |
npm |
packages/pro |
Pro/Team packs + scheduler + audit | private |
apps/landing, apps/dashboard, apps/vscode-extension, apps/license-server |
Site, local dashboard, IDE widget, license issuance | private |
tools/pack-bench |
Pack quality benchmark harness | private |
Architecture details: ARCHITECTURE.md.
Development
npm install # at repo root (workspaces)
npm run build # build all packages
npm test # run all test suites
Security
Local-only by design — license validation is the only network call. Report
vulnerabilities per SECURITY.md.
License
Core engine is MIT — see LICENSE. Pro/Team packs are proprietary.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。