Prototipo · Versión preliminar: todos los servidores del registro oficial, sincronizados cada 30 minutos. Las reseñas y las cuentas llegarán en una etapa posterior.
PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Groundhog

de dmytromeversión 0.22.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.dmytrome/groundhog-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

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

Ejecuta esto en tu terminal

claude mcp add groundhog -- uvx groundhog-mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

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

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub dmytrome, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 5676 servidores de esta categoría
  • Publicado en el registro más recientemente que el 75% de los otros 5676 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 5676 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Groundhog?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.22.0) llegó al registro hace 13 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

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

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

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

Se ejecuta en la nube★ 5213MITActualizado hace 2 meses
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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

Solo se muestra el principio; lee el resto en el repo

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