프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Groundhog

제작자: dmytrome버전 0.22.0i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.dmytrome/groundhog-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Search, read and research the web, with hidden text stripped by default and sources hashed

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 검색 및 AI 기억

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

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": {
    "groundhog": {
      "command": "uvx",
      "args": [
        "groundhog-mcp"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add groundhog -- uvx groundhog-mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "groundhog": {
      "command": "uvx",
      "args": [
        "groundhog-mcp"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "groundhog": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "groundhog-mcp"
      ]
    }
  }
}

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.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 dmytrome 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 5668개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 5668개 중 75%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 5668개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Groundhog, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.22.0)은 12일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Context7

제작자: upstash

Up-to-date docs for AI agents

컴퓨터 또는 클라우드★ 64,224MIT어제 업데이트
설치

Codebase Memory

제작자: DeusData

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

내 컴퓨터에서 실행★ 48,148MIT21일 전 업데이트
설치

Exa

제작자: exa-labs

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

클라우드에서 실행★ 5,213MIT2개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Groundhog

Web search, read and research for AI agents, through a real, stealth-patched Chrome. Groundhog is an MCP server that returns clean Markdown a model can trust: text no human could see is stripped before the model reads it and reported, every source comes with a provenance receipt, and a real browser reads pages that block plain fetchers.

agent / crawler  ──MCP──▶  Groundhog (search, read_url, research)  ──CDP──▶  stealth Chrome  ──▶  the web

Measured against other fetch layers

Twenty-eight pages carry text a human can't see, and three controls carry none. A case passes when the payload doesn't reach the model and the article text still does.

containedkept the articlereported itfalse positives
requests + trafilatura25/2828/280/280/3
Scrapling (HTTP)16/2828/280/280/3
Jina Reader15/2828/280/280/3
Firecrawl7/2828/280/280/3
Groundhog28/2828/2825/280/3

Other extractors often drop hidden text by accident, but none of them tells the caller anything was removed. The three cases Groundhog doesn't report (a hidden input value, a meta description, an iframe srcdoc) never reach any extractor. The corpus is public at dmytrome.github.io/groundhog; the harness and its limits are in benchmark/.

Quick start

Claude Code:

claude mcp add groundhog -- uvx groundhog-mcp

Claude Desktop, Cursor, Windsurf:

{

"mcpServers": { "groundhog": { "command": "uvx", "args": ["groundhog-mcp"] } } }

On the first fetch Groundhog starts the Chrome you already have, headless, in its own profile at ~/.groundhog/chrome. Your own browsing, tabs and logins are never touched. If Chrome is missing, status and the error say what to install.

GROUNDHOG_BROWSER=stealth runs the hardened browser container instead (Docker or Podman; the first pull takes a few minutes). To run it yourself:

docker run -d --rm --name groundhog-browser --shm-size 512m \

-p 127.0.0.1:9222:9222 -- ghcr.io/dmytrome/groundhog:latest

CDP_URL points Groundhog at any browser and is used as given: http:// is probed for /json/version, ws:// or wss:// (what hosted browsers hand out) is connected to directly. Auto-start only runs for a local address that isn't answering, and GROUNDHOG_AUTO_START_BROWSER=false turns it off. From source: cd mcp && uv sync && uv run groundhog-mcp.

All four tools are annotated readOnlyHint: they write nothing and change no remote state. The one side effect is auto-start, which may launch Chrome or, with stealth, run the container after removing an unreachable one named groundhog-browser.

What makes it different

  • Hidden text is stripped and reported. A rendered DOM shows what a human would see; everything else goes, and each removal is listed in threats. It's a strong heuristic, not a proof: see the limits.
  • Every source carries a receipt: a SHA-256 of the extracted content, canonical URL, language, word count, and author and date when the page declares them.
  • Safe by default. An SSRF guard checks every document request, redirects and frames included, with per-domain rate limiting. See Security.
  • No automation tell. Groundhog drives Chrome over raw CDP and never enables the Runtime domain that anti-bots detect in Puppeteer, Playwright and Selenium.
  • A real fingerprint. Real Chrome means real TLS, HTTP/2, WebGL and canvas. In headless mode the HeadlessChrome token is replaced and client hints are copied from the browser; shared and service workers aren't covered. The stealth image runs headful under Xvfb.
  • No model, no API key. research returns extracts and your agent does the synthesis.

Tools

read_url(url, format="markdown", max_tokens=None, query=None, include_hidden=False)
KeyMeaning
markdownExtracted content, article first, falling back to the rendered text inside a code fence, so none of it reads as markdown; a PDF comes back as one ## Page N section per page with its text fenced. format may be markdown or text
titlePage title
urlThe URL you asked for
final_urlThe URL after redirects, re-checked by the SSRF guard. If unusable, the requested URL is reported with a final_url_suppressed threat
fetched_atUTC ISO-8601 timestamp
statusok, or challenge / blocked / rate_limited / not_found / server_error / unsupported_content when what came back isn't the page you asked for. blocked covers 401, 403 and other 4xx error pages. too_large means the page had over 5 MiB of HTML or 2 MiB of text, or was a PDF over 10 MiB, 100 pages or 20 seconds of parsing, and nothing of it is returned. An encrypted or malformed PDF is unsupported_content. empty means the rendered page showed no text a reader would see (text in closed shadow roots, iframes and alt attributes doesn't count), whatever markdown holds. With include_hidden, text hidden by styling counts as shown; invisible characters never do. unknown means no usable status was observed. Judged on the document the text came from, after client-side redirects
http_statusThe top-level HTTP status, or null
truncatedWhether the token budget cut the content
threatsWhat was stripped; empty when nothing was found
matchesWith query: ranked passages with id, heading, offset, end, score and clamped (cut short to fit max_tokens). offset and end index the page's full markdown, and that span is the text returned; a piece of a long code block comes back with its fence lines added around it. Code is never cut mid-piece: a matching code block or piece larger than max_tokens is left out, and when nothing fits markdown is empty with truncated set, so raise max_tokens
set_asideWith query: scoring passages the relevance floor dropped
provenanceContent hash, canonical URL, language, word count, author and date

Stripped by default: display:none, visibility:hidden, content-visibility:hidden, opacity ≤ 0.05, font-size < 4px, zero-size and display:contents boxes that render nothing, .sr-only-style sub-pixel boxes, clip: rect(...), a clip-path that leaves nothing (circle(0), inset(100%), a polygon on one line), transform: scale(0) on either axis, a filter whose opacity is 0.05 or less, zero-height or zero-width boxes that clip their overflow, transparent or background-coloured text, off-page positioning, collapsed , content, and zero-width, bidi and Unicode Tag characters. A box whose only text is an open popover or modal dialog is kept, because that dialog still shows on screen; any other text in the box is stripped as usual. HTML comments are reported too. In a PDF, text drawn in render mode 3 or 7, which paints nothing, is stripped and reported as hidden_pdf. That includes the OCR layer of a scanned page, so a scan whose only text is that layer is empty unless you pass include_hidden. include_hidden=True keeps the text but still reports it. alt, aria-label, aria-description and title text never appears in markdown or the rendered text; values of 125 characters or more are reported as hidden_attribute with a capped excerpt, because long text there is a known carrier.

Treat threats as untrusted: its excerpts are page-authored text, cleaned and length-capped.

typeCarries
hidden_cssThe hiding reason, an 80-character excerpt and the DOM location
hidden_attributeThe same, for text in an alt, aria-label, aria-description or title attribute
hidden_templateThe same, for text inside a
hidden_pdfThe same, for text a PDF drew invisibly, with the page as its location
zero_width / bidi / tagA codepoint and count in reason, detected on the served text
report_truncatedHow many entries the cap dropped
final_url_suppressedThe page's final URL was unusable and not returned
detection_degradedDetection ran in the page's own JavaScript world, which the page can tamper with
strip_incompleteThe text was rebuilt from markup rather than layout, usually because of open shadow roots

At most 50 findings per page are returned (10 per source in research), with the two classes capped separately so decoys can't bury a real payload. Notices are appended after the cap.

query swaps head-truncation for BM25 passage ranking on the sanitized content, keeping passages within half the best score up to the budget.

search(query, limit=10)

Returns hits (title, url, snippet, engine, score, published) and the backend that answered. Nothing is fetched. With SEARXNG_URL set it uses your SearXNG instance, which needs formats: [html, json]; otherwise it renders a search page through the browser. Hit text is cleaned and capped, and a hit whose URL would change under cleaning, isn't http(s), carries credentials or exceeds 2048 characters is dropped. A backend that can't answer raises an error instead of returning an empty web.

research(query, max_sources=5, max_tokens=None, include_domains=None, exclude_domains=None, published_after=None, aim=None, follow=None)

Searches, reads the top sources and ranks passages from all of them in one pass.

  • passages: id, text, source_url, heading, score, start, end, clamped, fence. text is exactly markdown[start:end]; clamped says it was cut short to fit the budget. A code block is never cut short, only left out. A passage cut from a long code block carries the block's opening line in fence: reopen with it when text doesn't start with it, and close the block when text doesn't end with a closing fence. id stays stable while the page doesn't change.
  • sources: url, title, status (ok / blocked / timeout / error), page_status (as in read_url), threats, threat_total, threat_counts (every finding by type, spans the page's detector dropped as hidden_unclassified), provenance, filtered, depth and discovered_via (the candidate it was followed from, with your why). A failed source doesn't fail the call. A challenge, an error page, an empty page or any page whose markdown is blank counts as not_content and contributes no passages.
  • One page per registrable domain unless include_domains is set, and then no more pages per site than GROUNDHOG_MAX_CONCURRENT_PAGES; max_sources goes up to 10.

include_domains reads only those domains and their subdomains, exclude_domains never reads them, and published_after (YYYY-MM-DD) drops pages dated earlier. Up to 8 domains can be included and 50 excluded. A page that redirects into an excluded domain or out of the included ones, is dated too early, or repeats the URL or text of a page already used is listed with filtered and contributes no passages. The query sent to the engine names at most eight domains; further excluded ones are filtered after the search. aim (up to 200 characters) says what the evidence must show and is echoed back without changing the search or the ranking.

receipt holds the executed_query, the distinct hits and hits_by_domain, the hits not fet

앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요

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