Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Keyless web access for AI agents: read bot-walled pages as Markdown, search, grab assets
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"searchts": {
"command": "uvx",
"args": [
"searchts",
"mcp",
"serve"
]
}
}
}Run this in your terminal
claude mcp add searchts -- uvx searchts mcp servePaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"searchts": {
"command": "uvx",
"args": [
"searchts",
"mcp",
"serve"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"searchts": {
"type": "stdio",
"command": "uvx",
"args": [
"searchts",
"mcp",
"serve"
]
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 8, 2026
The registry name was verified with the GitHub account capad-xyz, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.27.1) reached the registry 5 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
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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