Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
MCP proxy that hides tool lists and shrinks tool results so your AI uses fewer tokens.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"atr": {
"command": "uvx",
"args": [
"atr-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add atr -- uvx atr-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"atr": {
"command": "uvx",
"args": [
"atr-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"atr": {
"type": "stdio",
"command": "uvx",
"args": [
"atr-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 JacobBhatt12 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Starreel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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).
When an AI uses tools (GitHub, a browser, a database, your test runner), two things waste tokens:
ATR sits between your AI app and your tools:
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:
Restart your apps and you're done.
| Command | What it does |
|---|---|
atr setup --dry-run | Shows the plan without changing anything |
atr setup --undo | Puts every app back exactly how it was |
pip install --upgrade atr-mcp | Updates ATR |
Every file atr setup changes also gets a backup copy (.atr-backup).
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.
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.
| Agent | Without ATR | With ATR |
|---|---|---|
| Claude Code | $0.237 per task, 13 turns | $0.110 per task, 10 turns (54% cheaper) |
| Codex | 84k 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.
What the AI receives, in tokens, measured with python -m benchmarks.bench_atr:
| Result | Without ATR | With ATR | Saved |
|---|---|---|---|
| 1,000 GitHub issues | 429,203 | 879 | 99.8% |
| 2,000-line server log | 61,072 | 208 | 99.7% |
git diff with a lockfile change | 22,294 | 207 | 99.1% |
| Web page in a browser (Hacker News) | 12,023 | 4,046 | 66% |
| 50 tools' instructions, on every message | 12,056 | 1,508 | 87.5% |
pytest -v, 303 tests, 3 failing | 6,685 | 675 | 90% |
pip install, 60 packages | 5,977 | 697 | 88% |
In each case, the parts that matter are kept: errors, failing tests, changed code lines, page text and links.
The AI uses these. You don't need to call them yourself.
In the free hosted connector
| Tool | What it does |
|---|---|
atr_fetch | Reads live web pages, PDFs, Office documents and JSON as compact text |
atr_search | Searches 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_places | Finds local businesses and places with free OpenStreetMap data; no API key needed |
atr_site | Inspects a website or searches its public sitemap and navigation |
atr_weather | Gets current weather and up to seven forecast days; no API key needed |
atr_query | Retrieves more from a large result ATR kept |
atr_stats | Shows how many tokens ATR has saved |
For your MCP servers
| Tool | What it does |
|---|---|
atr_find_tools | Searches all your servers' tools and returns the few that fit the task |
atr_read | Runs a tool that only reads, and shrinks the result |
atr_call | Runs a tool that changes something (your app can ask you first) |
atr_query | Reads more of a result that was cut, such as one page, one field or a search |
For coding
| Tool | Instead of |
|---|---|
atr_repo_map | Opening files one by one to learn a project |
atr_search_code | Pages of search results |
atr_read_file | Reading a whole file to see one function. It also says "unchanged" if the AI reads the same part twice |
atr_diff | A git diff full of lockfiles |
atr_run | Thousands of lines of test or build output |
atr_stats | Shows how many tokens ATR has saved |
.env files, private keys, cloud credentials, and files named like api_keys.json. This also applies to tools behind ATR and to atr_diff.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.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:
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.
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 }
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:
atr setup leaves them in your app.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
| File | What's in it |
|---|---|
atr/server.py | The MCP server your app talks to |
atr/remote.py | The same server over the internet (atr serve --http) |
atr/downstream.py | Talks to the MCP servers behind ATR |
atr/compress.py | Shrinks results |
atr/stash.py | Keeps full results for atr_query |
atr/router.py | Tool search |
atr/code.py | Coding tools |
atr/setup.py | atr 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