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ATR: Automation for Token Reduction

by JacobBhatt12version 1.0.0i★ –iRuns on your computer
Registry nameio.github.JacobBhatt12/atr

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add atr -- uvx atr-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account JacobBhatt12, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32742 servers in this category
  • Published to the registry more recently than 78% of the other 32742 servers in this category
  • Basic checks equal to or better than 100% of the other 32742 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ATR: Automation for Token Reduction safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Asset Notation

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago
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Asset Notation

by assetnotation

Read and maintain an Asset Notation file on disk: net worth, holdings, valuations, CSV import.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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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