原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

ATR: Automation for Token Reduction

作者:JacobBhatt12版本 1.0.0i★ –i在你的电脑上运行
注册名称io.github.JacobBhatt12/atr

安装

概览

作者提供的说明(英文原文)

MCP proxy that hides tool lists and shrinks tool results so your AI uses fewer tokens.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "atr": {
      "command": "uvx",
      "args": [
        "atr-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add atr -- uvx atr-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "atr": {
      "command": "uvx",
      "args": [
        "atr-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "atr": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "atr-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 JacobBhatt12 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18326 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18326 个服务器的 80% 更新
  • 基础检查结果等于或优于此分类中其他 18326 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

ATR: Automation for Token Reduction 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于10天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Signoff

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Signoff

作者:ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

ATR: Automation for Token Reduction

ATR makes your AI use fewer tokens when it works with tools. Fewer tokens means lower bills and fewer "usage limit reached" messages.

It works with Claude Code, Codex, Claude Desktop, Cursor, Windsurf, claude.ai and ChatGPT. It's free. Run it on your own computer, or add the hosted connector to a chatbot in a minute, with no install: https://atr-mcp.vercel.app (connector link: https://atr-mcp.vercel.app/mcp).

The problem

When an AI uses tools (GitHub, a browser, a database, your test runner), two things waste tokens:

  1. Every tool's instructions are sent on every message, even tools the AI never uses. Ten MCP servers can mean 10,000+ tokens before you've typed anything.
  2. Tool results are huge. A list of GitHub issues, a web page or a test run can be tens of thousands of tokens, and all of it goes into the chat.

What ATR does

ATR sits between your AI app and your tools:

  • It hides the tool list. The AI sees a few small ATR tools and searches for the tool it needs when it needs it.
  • It shrinks results. Before the AI sees a result, ATR removes the noise and keeps what matters. A failing test run keeps the failures and drops the passing tests. A web page keeps its text and links and drops the layout.
  • Nothing is lost. When ATR cuts something, it keeps the full result, and the AI can ask for any part of it.
 

Get started

You need Python 3.11 or newer.

pip install atr-mcp

atr setup

atr setup finds the AI apps on your computer, shows you what it will change, and asks first. Then it:

  1. moves your MCP servers behind ATR, and
  2. adds ATR to each app.

Restart your apps and you're done.

CommandWhat it does
atr setup --dry-runShows the plan without changing anything
atr setup --undoPuts every app back exactly how it was
pip install --upgrade atr-mcpUpdates ATR

Every file atr setup changes also gets a backup copy (.atr-backup).

Just want to try it?

The demo connects a fake server with 50 tools (GitHub, Slack, logs, a database). Nothing leaves your computer.

claude mcp add atr -- atr serve --demo        # Claude Code

codex mcp add atr -- atr serve --demo # Codex

Ask your AI to *"list the open GitHub issues"*, then *"show ATR stats"* to see how many tokens it saved.


How much it saves

Live tests

We gave AI agents the same browser task with and without ATR: open Hacker News, click "new", then open a GitHub issues page. Each setup ran 3 times, and every answer was correct.

AgentWithout ATRWith ATR
Claude Code$0.237 per task, 13 turns$0.110 per task, 10 turns (54% cheaper)
Codex84k tokens (33k at full price)134k tokens (18k at full price)

Codex is mixed: with ATR it sends about half as many full-price tokens, but more tokens overall.

Single results

What the AI receives, in tokens, measured with python -m benchmarks.bench_atr:

ResultWithout ATRWith ATRSaved
1,000 GitHub issues429,20387999.8%
2,000-line server log61,07220899.7%
git diff with a lockfile change22,29420799.1%
Web page in a browser (Hacker News)12,0234,04666%
50 tools' instructions, on every message12,0561,50887.5%
pytest -v, 303 tests, 3 failing6,68567590%
pip install, 60 packages5,97769788%

In each case, the parts that matter are kept: errors, failing tests, changed code lines, page text and links.

When ATR helps, and when it doesn't
  • Helps most: you use MCP servers that return big results, like GitHub, browsers (Playwright), databases, logs or web pages.
  • Helps a little: plain coding in Claude Code or Codex with no MCP servers. Those apps already trim their own commands, so in our test ATR made no difference there.
  • Can't help: your chat history and the AI's own replies. An MCP server only sees tool calls, never the conversation.

ATR's tools

The AI uses these. You don't need to call them yourself.

In the free hosted connector

ToolWhat it does
atr_fetchReads live web pages, PDFs, Office documents and JSON as compact text
atr_searchSearches the web with DuckDuckGo, Bing and Brave at once and returns one short merged list (about 60 tokens a result); no API key needed
atr_placesFinds local businesses and places with free OpenStreetMap data; no API key needed
atr_siteInspects a website or searches its public sitemap and navigation
atr_weatherGets current weather and up to seven forecast days; no API key needed
atr_queryRetrieves more from a large result ATR kept
atr_statsShows how many tokens ATR has saved

For your MCP servers

ToolWhat it does
atr_find_toolsSearches all your servers' tools and returns the few that fit the task
atr_readRuns a tool that only reads, and shrinks the result
atr_callRuns a tool that changes something (your app can ask you first)
atr_queryReads more of a result that was cut, such as one page, one field or a search

For coding

ToolInstead of
atr_repo_mapOpening files one by one to learn a project
atr_search_codePages of search results
atr_read_fileReading a whole file to see one function. It also says "unchanged" if the AI reads the same part twice
atr_diffA git diff full of lockfiles
atr_runThousands of lines of test or build output
atr_statsShows how many tokens ATR has saved

Safety

  • Secrets are never read, searched or shown, including .env files, private keys, cloud credentials, and files named like api_keys.json. This also applies to tools behind ATR and to atr_diff.
  • Reading and changing are separate. Tools that only read go through atr_read. Anything that changes something goes through atr_call, so your app can ask you before it runs. atr_run (shell commands) always asks.
  • Files stay in allowed folders. File tools only see the folders listed in your settings.

Using ATR in claude.ai or ChatGPT

No install: add the hosted connector https://atr-mcp.vercel.app/mcp the same way (Settings → Connectors → Add custom connector, no sign-in). Then do the one-time step below.

Tell your chatbot to use it. Chatbots pick their own built-in web tools first, and in tests Claude never chose ATR by itself. Add this once under Settings → Profile → personal preferences (or in a Project's instructions):

When I ask you to search the web or read a link, use atr_search and atr_fetch instead of the built-in web tools.

Or skip the setup and ask your question and add "use atr", like "What is the latest on the MCP spec? Use atr." (or "use atr_search", "use atr_fetch"). This is only needed for the web tools. Tools you put behind ATR (GitHub, for example) are found by name.

For your own tools behind ATR, you need a link of your own:

These apps can only reach servers on the internet, so ATR needs a public link.

pip install "atr-mcp[http]"

atr serve --http # prints a link with a secret in it tailscale funnel --bg 8789 # a permanent public https link (or: cloudflared tunnel --url http://127.0.0.1:8789)

Add https:// /mcp/ as a connector:

  • claude.ai: Settings → Connectors → Add custom connector (no sign-in)
  • ChatGPT: Settings → Apps & Connectors → developer mode → create a connector (no sign-in)

Keep the link private. Anyone who has it can use your tools. File reading and shell commands are off over the internet unless you turn them on with --read-files and --allow-run. To change the secret, delete ~/.atr/http_token.


Settings

atr setup writes these for you. You can also edit ~/.atr/config.json yourself:

{

"servers": { // the MCP servers ATR runs for you "github": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-github"] } }, "budget": 1500, // most tokens one result may use "level": 2, // 1 = keep almost everything, 3 = shrink hard "pin": ["github__create_issue"], // tools to always show (skips the search step) "read_only": ["github__list_*"], // tools that only read, if a server doesn't say so itself "read_roots": ["~"] // folders the file tools may open }


More

No MCP at all? atr compress shrinks a file or your clipboard before you paste it into any chat:

atr compress dump.json --copy

pbpaste | atr compress --copy

Set up by hand: atr init writes the settings file, and atr snippet prints the entry to add to your app's MCP config.

"No module named 'atr'" on macOS: run chflags nohidden .venv*/lib/python*/site-packages/*.pth, or use the entry from atr snippet.

Limits:

  • Online servers that need a sign-in (OAuth) can't go behind ATR yet, so atr setup leaves them in your app.
  • ATR lowers what each message costs. It doesn't change your plan's limits.

For developers

git clone https://github.com/JacobBhatt12/atr && cd atr

pip install -e ".[dev]" python -m pytest atr/tests -c /dev/null # 44 tests python -m benchmarks.bench_atr # the savings table above

FileWhat's in it
atr/server.pyThe MCP server your app talks to
atr/remote.pyThe same server over the internet (atr serve --http)
atr/downstream.pyTalks to the MCP servers behind ATR
atr/compress.pyShrinks results
atr/stash.pyKeeps full results for atr_query
atr/router.pyTool search
atr/code.pyCoding tools
atr/setup.pyatr setup

Next up: remembering repeated tool calls so the same result isn't sent twice, sign-in support for online servers, and a small local model that summarizes long text when cutting would lose meaning.

License: MIT

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