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searchts

by capad-xyzversion 0.27.1i★ –iRuns on your computer
Registry nameio.github.capad-xyz/searchts

Install

Overview

Description from the maker (original English)

Keyless web access for AI agents: read bot-walled pages as Markdown, search, grab assets

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: Docs, sheets & office work

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": {
    "searchts": {
      "command": "uvx",
      "args": [
        "searchts",
        "mcp",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add searchts -- uvx searchts mcp serve

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account capad-xyz, 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 Docs, sheets & office worki

  • More stars than 0% of the other 3592 servers in this category
  • Published to the registry more recently than 85% of the other 3592 servers in this category
  • Basic checks equal to or better than 100% of the other 3592 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 searchts 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 (0.27.1) reached the registry 5 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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 Calendar

Agent-Native Google Calendar - manage events, sync, and public booking

by BuilderIOWidely used★ 7.6KUpdated 2 months ago

Runs in the cloud

Excel MCP Server

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

by haris-musaWidely used↓ 49.6K/wk★ 4.3KUpdated 8 days ago

Runs on your computer

MCP Server for Excel

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

by sbroenneGrowing↓ 4.3K/wk★ 847Updated 5 days ago

Runs on your computer

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.

searchts

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

One-line agent install

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.

Three things your agent's built-in fetch can't do

1. Decode full ChatGPT, Claude, Gemini, Grok, Poe, DeepSeek, Perplexity and Copilot share links

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.

2. Escalate past bot walls, or fail loudly instead of hallucinating on a login screen

Every searchts read walks a three-tier open-source unlocker and remembers which rung worked per domain:

  • `curl_cffi` impersonates a real Chrome TLS/JA3 and HTTP/2 fingerprint. Fast, local, private.
  • Jina Reader (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.
  • `patchright` is a lazy stealth Chromium, started only when the cheaper tiers fail.
  • `--human` opens a real browser when only a person can clear the page.
searchts read https://some-js-heavy-or-fingerprinted-site.com --scrub

Tier 1 (curl_cffi) -> 403 | Tier 2 (Jina) -> clean Markdown returned, injection scrubbed

searchts read https://www.linkedin.com/in/someone/

Signed out: fails loudly with the exact tier and login-wall reason, stdout empty.

With a kept login: the profile, and its Experience and Education, as one page.

searchts read https://www.linkedin.com/company/acme/posts/

Company pages and their posts read natively; a rate limit says so instead of "expired".

--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.

3. Transcribe videos and grab fingerprint-gated design assets
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.

Native web search

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"

Why it exists

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.

How searchts compares

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.

CapabilityBuilt-in WebFetch / curlAgent-ReachHosted scrapers (Firecrawl, Jina Pro)searchts
ArchitectureNaive HTTP fetchInstaller and per-platform routers for third-party CLIs (yt-dlp, OpenCLI, Jina)Hosted fetch + scraper fleetLocal escalating unlocker + MCP server + CLI
Bot / JS escalationNoneOne Jina Reader hop for the webHosted proxies and rendering`curl_cffi` (TLS/JA3) → Jina → `patchright` stealth + `--human`
Login or blockHands 200 OK login HTML to the model, or errorsDepends on the upstream CLI and its sessionCredits, limits, or partial HTMLFails loudly with the tier and reason; local login reuse is opt-in
AI-chat share linksEmpty JS shell or truncatedNo share-link decoder; depends on JinaRenderer can cut long chatsNative decoders + auto-scroll stealth render (8 providers)
Web searchNoneExa via mcporterPaid search endpointKeyless DuckDuckGo + RRF across SearXNG / Exa / Brave / Tavily. A snippet is not the page
Prompt-injection scrubbingNone——Built-in (`--scrub`)
BenchmarkNoneNoneMarketing pass ratesReproducible two-suite scorecard (`Smoke` vs `Walled`)
Default costFreeFree, plus the CLIs it installsAPI key and per-page creditsFree, MIT, keyless (no paid residential proxy by default)

What it does

  • Reads pages your agent's own fetch can't: browser-fingerprint checks, JavaScript-only pages and some bot walls
  • Fails loudly when the read is not the real page (a login the user did not hand over, a puzzle that needs a person, a block that is the address) and says which tier failed and why
  • Reads complete ChatGPT / Claude / Gemini / Grok / Poe / DeepSeek / Perplexity / Copilot shared conversations
  • Works with Claude, Codex, and MCP agents
  • Extracts clean Markdown, ready to feed a model
  • Says when a page has more than it returned (a next page, a feed, folded text) and rebuilds search results and feeds the extractor mangles
  • Searches the web without API keys (DuckDuckGo, plus SearXNG, Exa, Brave, and Tavily). A snippet is not the page
  • Downloads a page's assets (images, fonts, palette)
  • Transcribes videos, subtitles-first
  • Names images, video, and embeds in the page. searchts get fetches one of those URLs through the same ladder
  • On a player page, returns the captions, or fails and names searchts transcribe for the audio

When a read names a next step

search 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.

Why the package is free

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.

The unlocker

searchts reads any URL through an escalating ladder and stops at the first tier that returns re

Only the beginning is shown; read the rest in the repo

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