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searchts

作者:capad-xyz版本 0.27.1i★ –i在你的电脑上运行
注册名称io.github.capad-xyz/searchts

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

claude mcp add searchts -- uvx searchts mcp serve

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 capad-xyz 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 3598 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3598 个服务器的 84% 更新
  • 基础检查结果等于或优于此分类中其他 3598 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

searchts 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.27.1)于5天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Agent-Native Calendar

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

作者:BuilderIO广泛使用★ 76202个月前更新

在云端运行

Excel MCP Server

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

作者:haris-musa广泛使用↓ 5万/周★ 42768天前更新

在你的电脑上运行

MCP Server for Excel

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

作者:sbroenne正在增长↓ 4321/周★ 8475天前更新

在你的电脑上运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

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