原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

metasearch.sh

作者:paperfoot版本 1.1.1i★ –i在云端运行
注册名称sh.metasearch/search

安装

概览

作者提供的说明(英文原文)

Web search and page reading: news, papers, people, patents and places, with sources and cost.

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: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

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 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http search https://metasearch.sh/mcp --header 'Authorization: your-value'

运行前请先填写空着的值。

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": {
    "search": {
      "url": "https://metasearch.sh/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

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": {
    "search": {
      "type": "http",
      "url": "https://metasearch.sh/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

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。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization 机密 HTTP header
    Optional: Bearer . Without it, clients connect by OAuth.

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

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • search

    Use this when the answer needs current or sourced information from the web: news, papers, people, posts on X, TikTok, Instagram and YouTube, Reddit and Hacker News discussions, patents, places, images or general queries. social: posts and videos with views, likes, comments and au

  • fetch

    Use this to read one public web page as markdown, by a search result's `id` or any http(s) URL. Returns {id, title, text, url, metadata}; up to 40,000 characters a call, and a longer page continues with `offset` = metadata.next_offset, served from the page just read and not charg

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7日

  • ! 注意

    作者与仓库一致

    发布者(metasearch.sh)不是仓库所有者(paperfoot);可能是其他人代为上架的

  • … 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

  • ✓ 通过

    端点有响应

    在 292 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 2 个工具描述,未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7281 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7281 个服务器的 91% 更新
  • 基础检查结果等于或优于此分类中其他 7281 个服务器的 40%

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

metasearch.sh 安全吗?

它在 3 项适用的基础检查中通过了 2 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?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.1)于3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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

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:★ 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

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

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。

search: web search for AI agents

One command sends a query to several of ten search engines at once, fuses the results, and tells you what each search cost.

Install · No keys? · Modes · TikTok, YouTube and more · Reddit and HN · Cost · Extract · Agents · Plugins and MCP

search is a single Rust binary for AI agents and the people who run them. It searches with Serper, Exa, Jina, Brave, Linkup, Parallel, Tavily, Perplexity, SerpApi and xAI, searches TikTok, Instagram, YouTube, Facebook, Threads and X for posts and videos (with transcripts and top comments), searches Reddit and Hacker News with no key, reads pages with two fetchers of its own and then Jina, Firecrawl or Browserless, merges what comes back with reciprocal rank fusion, and prints one JSON document with the results, the engines that answered, the ones that failed and why, and the cost.

search "CRISPR gene therapy trials"

Install

brew install paperfoot/tap/search-cli                 # macOS and Linux

cargo install agent-search # any platform with Rust curl -fsSL https://metasearch.sh/install | sh # macOS and Linux, x86_64 and arm64

The install script downloads the release binary for your platform and checks it against the release's SHA256SUMS before installing. search update downloads the latest GitHub release and replaces the binary, without that check.

The Linux binaries include the stealth fetcher, as the macOS ones do. To build from source on Linux, install cmake, clang, libclang-dev, perl and pkg-config first (BoringSSL needs them), or drop the fetcher with cargo install agent-search --no-default-features.

No keys? search login

search login          # prints a code and opens metasearch.sh in your browser

search "rust async runtimes"

search login signs you in to metasearch.sh with a device code; --no-browser prints the URL for SSH sessions. Logging in is free; searches on metasearch.sh are paid from the balance you top up. After that:

  • Engines you have your own key for go direct, as before. Your keys always win.
  • Engines you have no key for go through metasearch.sh and are charged to your balance.
  • Each search reports its cost in metadata.cost and how each engine was reached in metadata.transport (direct, local or hosted).
  • The engines without your key go to metasearch.sh as one call per search. Without -p, metasearch.sh picks the engines: the cheapest one first, a pricier one only when the first list is thin, and two social platforms at most. It also answers a repeated search from its own cache, at the stored price, and marks it metadata.routing.cached. With -p, the engines you name are sent as you give them; in extract and the one-engine modes they are tried one at a time, in order, so only the first that answers is charged. Beside an engine you run with your own key, the call goes to the first engine of the mode you have no key for (in extract, each hosted step keeps its place in the chain), so no engine runs twice.
  • --no-cache skips both caches: the one on your machine and the one on metasearch.sh.
  • Logging in also turns on model routing and relevance reranking, which are free.
search whoami             # account, balance and key

search logout --revoke # forget the key here and revoke it on the server

On a CI runner or in a container, export a key from the dashboard instead: METASEARCH_API_KEY=ms_live_... (or METASEARCH_TOKEN, which wins when both are set).

Your own keys

Any combination works, even one key. Environment variables beat the config file, so a key exported in a shell or injected by CI always wins.

export SERPER_API_KEY=...                      # the provider's usual variable

export SEARCH_KEYS_EXA=... # or the SEARCH_KEYS_ form echo "$KEY" | search config set keys.brave - # or the config file; "-" reads stdin search config check # which engines have a key search doctor # test each engine you have a key for (one billed query each)

Precedence: _API_KEY env, then SEARCH_KEYS_ env, then the config file. The variables are SERPER_API_KEY, EXA_API_KEY, JINA_API_KEY, BRAVE_API_KEY, LINKUP_API_KEY, PARALLEL_API_KEY, TAVILY_API_KEY, PERPLEXITY_API_KEY, SERPAPI_API_KEY, XAI_API_KEY, FIRECRAWL_API_KEY and BROWSERLESS_API_KEY. The config file is ~/.config/search/config.toml on Linux and ~/Library/Application Support/search/config.toml on macOS, created with mode 0600; config.example.toml lists every setting.

Modes

With no -m, the mode is auto, in search "…" and search search -q "…" alike. Auto applies fixed rules first: a lone URL is extract; "tweets", "Twitter", "on X", x.com/ or a lone @handle is social on X; "tiktok", "instagram reels", "youtube", "youtube comments", "on threads" or "facebook page" is social on that platform (not "youtube api", "tiktok sdk" or "embed a youtube video"); "reddit", "subreddit", "hacker news", "on HN", r/ , "what do people say about", "opinions about" or "experiences with" is community (not "reddit api", "reddit stock", a unit such as "r/min", or "HN" alone); similar to (or "sites like", "alternatives to") is similar; "patent" (not "patent leather"), "prior art" or a patent number such as US 10123456 or EP1234567 is patents; "images of" or "logo for" is images, except system images such as Docker, container or VM images. Web-development uses ("Twitter card", "embed a tweet"), "on X axis", code at-words (@property, @media, @types/node) and email addresses are not X cues. When you are logged in, metasearch.sh's routing model, a small classification model, picks among the remaining modes. Without login, or when the model does not answer within 1.2 s, keyword rules decide (places, scholar, academic, people, then news), and anything else is general. Auto never picks deep, and picks social only on a platform cue: those two cost more and must be asked for.

In news and social, auto turns a time word into a freshness filter when you gave no -f: "today" and "yesterday" mean day; "this week", "latest" and "breaking" mean week; "this month" and "this year" mean month and year. The decision, its source and its reason are in metadata.routing.auto.

Pass -m to choose the mode yourself; an explicit -m or -p is always obeyed. If the engines you name with -p cannot serve the mode auto picked, the search runs as general with source fallback (as community when you name only reddit or hackernews, and social when you name only platforms such as tiktok).

ModeUse it for-q isEngines, in order
autoDefault: picks one of the modes below and says whyquery or URL
generalAny web lookupqueryserper, exa, jina, brave, linkup, parallel, tavily, perplexity
newsCurrent events; add -f day or -f weekqueryserper, brave, linkup, parallel, tavily, perplexity
academicPapers and studies on a topicqueryexa, serper, tavily, perplexity
scholarGoogle Scholar records: citations, versions, PDFsqueryserper, serpapi
deepWide coverage when recall matters more than cost; use -c 30queryexa, serper, brave, linkup, parallel, tavily, perplexity, xai
peopleA person, their role, their LinkedIn profilequeryexa
socialWhat X, TikTok, Instagram and YouTube show: X plus the likeliest other platform, two paid calls at most; a platform cue pins one, and Threads and Facebook pages run on their cuequeryxai, tiktok, instagram, youtube (threads, facebook on a cue)
communityWhat real people say on Reddit and Hacker Newsqueryreddit, hackernews
patentsPrior art, patent familiesqueryserper
imagesImages; the picture is image_url, url is the pagequeryserper
placesLocal businesses and mapsqueryserper
extractRead one page as markdown (a Reddit or HN thread URL goes to reddit or hackernews first, a TikTok, Instagram, YouTube, Facebook or Threads URL to that platform)URLdirect, stealth, jina, firecrawl, browserless
scrapeSame as extractURLsame as extract
similarPages like this oneURLexa

Fused modes (general, news, academic, scholar, deep, social, community) query their engines at once and rank with reciprocal rank fusion: a URL that several engines return ranks above any one engine's top hit, and extra.also_found_by shows which engines agreed. A fused search waits for every engine until the mode's deadline, because an engine that received the query bills for it whether or not the CLI waits; engines still running at the deadline are listed in metadata.providers_timed_out. social is the exception: once one platform has answered, it waits at most 20 s for the rest, so one slow platform cannot hold up the search. extract tries engines in order and stops at the first real page. The other modes use one engine. search agent-info prints this table from the same registry the engine uses.

When you are logged in, results in general, news, academic, scholar, people and deep are reranked by relevance once there are at least 3: metadata.routing.reranked is true and each result carries extra.relevance (0 to 1). A search pinned to one engine with -p keeps that engine's order, --no-rerank keeps the fused order, and a failed rerank keeps it too (reranked: false). Without login, auto and rerank-mode searches carry the note "log in for model routing and reranking (free)" in metadata.notes.

search "who is the CEO of Anthropic"                       # auto picks people

search search -q "transformer interpretability" -m academic search search -q "AI agent frameworks" -m news -f week search search -q https://example.com/post -m extract search search -q "rust error handling" -p exa,serper # only these engines search --x "Claude Code" # X only search --tiktok "Claude Code" # TikTok only (also --instagram, --youtube, --threads)

The shorthand search "…" takes only the global flags (--json, --quiet, --last, --debug, and --x, --tiktok, --instagram, --youtube, --threads). A search flag after it (-m, -p, -c, -f, -d, --no-cache and the rest, --flag=value too) exits 3 with an error that shows the full form, search search -q "…". -f takes day, week, month or year; anything else exits 3.

TikTok, Instagram, YouTube, Facebook, Threads and X

search "mechanical keyboard on tiktok"                             # TikTok only

search search -q "mechanical keyboard" -m social --json # X plus the likeliest platform search "https://www.youtube.com/watch?v=3rKPzh3Pr0o" # the video, transcript, top comments search "https:

只显示了开头部分;其余内容请在仓库中阅读

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