Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
제작자가 쓴 설명(영어 원문)
Keyless web access for AI agents: read bot-walled pages as Markdown, search, grab assets
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": {
"searchts": {
"command": "uvx",
"args": [
"searchts",
"mcp",
"serve"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add searchts -- uvx searchts mcp serve프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"searchts": {
"command": "uvx",
"args": [
"searchts",
"mcp",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"searchts": {
"type": "stdio",
"command": "uvx",
"args": [
"searchts",
"mcp",
"serve"
]
}
}
}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 8일 점검
레지스트리 이름이 GitHub 계정 capad-xyz 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(0.27.1)은 4일 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A keyless web unlocker and reader for AI agents. *(Off the record: "search this shit".)*
It reads the page, or it tells your agent plainly that it can't.
When Claude, Cursor, Codex or another agent fetches a URL, it regularly comes back with junk: a 403 bot wall, an empty JavaScript shell, a truncated AI-chat share link, or a login screen that the model happily summarizes as if it were the article. searchts is the reader your agent calls instead. It is open source (MIT), free, needs no API key, refuses paid residential proxies by default, and runs as an MCP server, a CLI or a Python library.
▶ Watch the full 1-minute demo
Add searchts to Claude Code, Cursor or any MCP client in one command. No API key:
claude mcp add searchts -- uvx --from "searchts[mcp]" searchts mcp serve
Keep it globally and add the stealth browser, which the hardest rungs use:
pipx install "searchts[mcp]" && searchts install --browser
claude mcp add searchts -- searchts mcp serve
Install covers uvx, pipx, venv and the browser extra. The CLI, the MCP server and the Python library all call the same read path.
A shared conversation never sits in the initial page HTML as plain text. A raw fetch gets a JavaScript shell; a renderer can still cut the chat off mid-thread. searchts read recognizes share URLs and decodes each provider's own data channel into complete, role-labeled Markdown, keyless and without logging in:
searchts read https://chatgpt.com/share/... # turbo-stream payload in the page (no browser)
searchts read https://claude.ai/share/... # keyless snapshot API behind Cloudflare (no browser) searchts read https://gemini.google.com/share/... # keyless batchexecute RPC (no browser) searchts read https://chat.deepseek.com/share/... # stealth render, auto-scrolls past list virtualization
Eight providers: ChatGPT (both /share/ and the newer /s/ _ short links), Claude, Gemini, Grok, Poe, DeepSeek, Perplexity and Copilot. The first five need no browser. The last three reuse the stealth tier, scroll until the page height stops changing, open the folds, then read.
Every searchts read walks a three-tier open-source unlocker and remembers which rung worked per domain:
r.jina.ai) renders JavaScript when the page only fills in after it runs. Default on; SEARCHTS_NO_JINA=1 keeps the URL off Jina's servers.searchts read https://some-js-heavy-or-fingerprinted-site.com --scrub
searchts read https://www.linkedin.com/in/someone/
searchts read https://www.linkedin.com/company/acme/posts/
--scrub strips invisible and bidi characters and flags prompt-injection indicators before untrusted text reaches your model.
A login you hand over is different from a login searchts guesses. In 0.15.0, local reuse is opt-in and fenced to the one host in the command: --cookies-from-browser --yes, --cookies , or --cdp-port . Without one of those, a wall is an error, not an article.
searchts transcribe https://youtu.be/... # YouTube, TikTok, Instagram Reels, Reddit
searchts transcribe https://www.instagram.com/reel/... --cookies-from-browser chrome searchts grab https://stripe.com --kinds images,fonts,svg --read --out ./stripe-kit
Transcription is subtitles-first, then yt-dlp audio plus Whisper when there are no captions. grab extracts a page's images, icons, CSS, fonts, SVGs and color palette through the same unlocker, so it works on fingerprint-gated CDNs, not just open ones.
A built-in fetch does not search. searchts search is keyless DuckDuckGo by default, with reciprocal rank fusion across SearXNG, Exa, Brave, and Tavily. A snippet is not the page. Read each URL.
searchts search "open source vector db"
I built searchts because Claude kept running into walls when I asked it to read the web for me. The trigger was a Devpost hackathon page and its terms: the page wasn't even walled, and Claude still couldn't read it.
The first versions, which I built with Claude, failed the other way. When they couldn't get a page, they handed back whatever they got, and the agent summarised a loading screen as if it were the article. So searchts has one rule above the rest: return the real page, or fail loudly and say why. It never hands your agent a fake read.
searchts grew out of Agent-Reach's channel/doctor scaffolding, then replaced the read/search core with an escalating unlocker, share-link decoders and an MCP server.
| Capability | Built-in WebFetch / curl | Agent-Reach | Hosted scrapers (Firecrawl, Jina Pro) | searchts |
|---|---|---|---|---|
| Architecture | Naive HTTP fetch | Installer and per-platform routers for third-party CLIs (yt-dlp, OpenCLI, Jina) | Hosted fetch + scraper fleet | Local escalating unlocker + MCP server + CLI |
| Bot / JS escalation | None | One Jina Reader hop for the web | Hosted proxies and rendering | `curl_cffi` (TLS/JA3) → Jina → `patchright` stealth + `--human` |
| Login or block | Hands 200 OK login HTML to the model, or errors | Depends on the upstream CLI and its session | Credits, limits, or partial HTML | Fails loudly with the tier and reason; local login reuse is opt-in |
| AI-chat share links | Empty JS shell or truncated | No share-link decoder; depends on Jina | Renderer can cut long chats | Native decoders + auto-scroll stealth render (8 providers) |
| Web search | None | Exa via mcporter | Paid search endpoint | Keyless DuckDuckGo + RRF across SearXNG / Exa / Brave / Tavily. A snippet is not the page |
| Prompt-injection scrubbing | None | — | — | Built-in (`--scrub`) |
| Benchmark | None | None | Marketing pass rates | Reproducible two-suite scorecard (`Smoke` vs `Walled`) |
| Default cost | Free | Free, plus the CLIs it installs | API key and per-page credits | Free, MIT, keyless (no paid residential proxy by default) |
searchts get fetches one of those URLs through the same laddersearchts transcribe for the audiosearch prints a list of URLs and a line that says the snippet is not the page. Read each URL.
A player page (a YouTube watch URL, a TikTok video, an Instagram reel, a v.redd.it file, or an X post that has a video) comes back as the captions, or fails with empty stdout and names searchts transcribe for the audio. An X post with no video is still a read of the page. Captions need no key. Audio is the transcribe command, not a second reader.
searchts transcribe https://youtu.be/... # audio, when read found no captions
searchts transcribe https://www.instagram.com/reel/... --cookies-from-browser chrome searchts get https://example.com/logo.svg -o logo.svg # one file a read named searchts grab https://stripe.com --kinds images,fonts,svg --read --out ./stripe-kit
Local transcription ships with whisper.cpp. The default quantized small model is about 190 MB and downloads only when a transcription reaches audio and you approve it: a terminal asks once, while an agent gets a structured consent result with the model size, source, cache path and exact --yes retry. Cached models work offline. Select small, turbo or base with --model, the whisper_model config key, or SEARCHTS_WHISPER_MODEL; --hint supplies names or other words to the decoder, and --translate opts into English output (not supported by turbo). Use searchts transcribe --list-models to inspect the cache and searchts transcribe --remove-model small --yes to remove a cached model after approval. faster-whisper remains an explicit migration fallback with --provider local-fw while it is installed. The published pywhispercpp wheels are CPU builds on Linux and Windows: CPython 3.10-3.14 wheels cover Linux x64/arm64, Windows x64 and macOS arm64; Windows arm64 and macOS x64 have no wheel. The macOS arm64 wheel ships whisper.cpp's Metal backend with an embedded metallib, so an Apple Silicon install can run on the GPU; the Linux and Windows wheels ship no GPU backend, so Vulkan and CUDA wheels are still a follow-up.
grab saves the set of files when the files are the deliverable. It uses the same unlocker, so a fingerprint-gated CDN is the same ladder as a read.
The package you install is free and keyless. The fetch and the browser run on your machine, from your connection. It does not bundle a residential proxy. Jina Reader, the one hosted rung, is free and can be turned off. That is not a promise that every hard page is free forever. A read that needs an exit we operate is a different product, not a default of this package. The scorecard is what this build actually read, not a list of walls that can never be passed.
searchts reads any URL through an escalating ladder and stops at the first tier that returns re
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