Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Search, read and research the web, with hidden text stripped by default and sources hashed
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"groundhog": {
"command": "uvx",
"args": [
"groundhog-mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add groundhog -- uvx groundhog-mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"groundhog": {
"command": "uvx",
"args": [
"groundhog-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"groundhog": {
"type": "stdio",
"command": "uvx",
"args": [
"groundhog-mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント dmytrome で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.22.0)がレジストリに届いたのは13 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
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.
| contained | kept the article | reported it | false positives | |
|---|---|---|---|---|
requests + trafilatura | 25/28 | 28/28 | 0/28 | 0/3 |
| Scrapling (HTTP) | 16/28 | 28/28 | 0/28 | 0/3 |
| Jina Reader | 15/28 | 28/28 | 0/28 | 0/3 |
| Firecrawl | 7/28 | 28/28 | 0/28 | 0/3 |
| Groundhog | 28/28 | 28/28 | 25/28 | 0/3 |
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/.
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.
threats. It's a strong heuristic, not a proof: see the limits.Runtime domain that anti-bots detect in Puppeteer, Playwright and Selenium.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.research returns extracts and your agent does the synthesis.read_url(url, format="markdown", max_tokens=None, query=None, include_hidden=False)| Key | Meaning |
|---|---|
markdown | Extracted 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 |
title | Page title |
url | The URL you asked for |
final_url | The URL after redirects, re-checked by the SSRF guard. If unusable, the requested URL is reported with a final_url_suppressed threat |
fetched_at | UTC ISO-8601 timestamp |
status | ok, 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_status | The top-level HTTP status, or null |
truncated | Whether the token budget cut the content |
threats | What was stripped; empty when nothing was found |
matches | With 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_aside | With query: scoring passages the relevance floor dropped |
provenance | Content 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.
type | Carries |
|---|---|
hidden_css | The hiding reason, an 80-character excerpt and the DOM location |
hidden_attribute | The same, for text in an alt, aria-label, aria-description or title attribute |
hidden_template | The same, for text inside a |
hidden_pdf | The same, for text a PDF drew invisibly, with the page as its location |
zero_width / bidi / tag | A codepoint and count in reason, detected on the served text |
report_truncated | How many entries the cap dropped |
final_url_suppressed | The page's final URL was unusable and not returned |
detection_degraded | Detection ran in the page's own JavaScript world, which the page can tamper with |
strip_incomplete | The 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.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
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