Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
MCP proxy that hides tool lists and shrinks tool results so your AI uses fewer tokens.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"atr": {
"command": "uvx",
"args": [
"atr-mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add atr -- uvx atr-mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"atr": {
"command": "uvx",
"args": [
"atr-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"atr": {
"type": "stdio",
"command": "uvx",
"args": [
"atr-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント JacobBhatt12 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(1.0.0)がレジストリに届いたのは9 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, 御府和田玉 在售作品查询
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Live in-stock Hetian jade from Yufu, Shanghai: prices, monthly price guide, book a viewing.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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