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Crabcrop

de dayvsonversión 0.1.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.crabcrop/crabcrop

Instalar

Resumen

Descripción del creador (original en inglés)

Sign and explain crabcrop image URLs, fetch processed-image metadata, and purge cached results.

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: Diseño, imágenes y audio
  • Debes completar: CRABCROP_SECRET

Instalación

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

Antes de instalar

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • npmNode.js instalado (para el comando npx)

¿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": {
    "crabcrop": {
      "command": "npx",
      "args": [
        "-y",
        "@crabcrop/mcp"
      ],
      "env": {
        "CRABCROP_BASE": "your-value",
        "CRABCROP_SECRET": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add crabcrop --env CRABCROP_BASE=your-value --env CRABCROP_SECRET=your-value -- npx -y @crabcrop/mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "crabcrop": {
      "command": "npx",
      "args": [
        "-y",
        "@crabcrop/mcp"
      ],
      "env": {
        "CRABCROP_BASE": "your-value",
        "CRABCROP_SECRET": "your-value"
      }
    }
  }
}

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": {
    "crabcrop": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@crabcrop/mcp"
      ],
      "env": {
        "CRABCROP_BASE": "your-value",
        "CRABCROP_SECRET": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

  • CRABCROP_BASE env
    Base URL of the crabcrop server the tools act on (for example https://images.example.com).
  • CRABCROP_SECRET secreto env
    The server's signing secret, used by sign_url and purge_result. Keep it in the environment, not in tool arguments.

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 6 nov 2026

  • ! Precaución

    El creador coincide con el repo

    Quien lo publicó (crabcrop) no es el dueño del repo (dayvson); puede que otra persona lo haya listado

  • … 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 Diseño, imágenes y audioi

  • Más estrellas que el 0% de los otros 2166 servidores de esta categoría
  • Publicado en el registro más recientemente que el 72% de los otros 2166 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 40% de los otros 2166 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 Crabcrop?

Superó 0 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?

Debes completar: CRABCROP_SECRET

¿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 (0.1.0) llegó al registro hace 12 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server

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

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Se ejecuta en tu computadora★ 16.165MITActualizado hace 5 meses
Instalar

Claude Real Video

de HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Se ejecuta en tu computadora★ 2284MITActualizado hace 2 meses
Instalar

The Figma MCP server brings Figma design context directly into your AI workflow.

Se ejecuta en la nube★ 2152Actualizado hace 13 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.

crabcrop

Website · Documentation · Playground

Blazing fast, on-demand images.

crabcrop is a Rust-built, lightning-fast on-demand image API supporting all major formats in and out, with over 50 filters and AI features like background removal. It resizes, crops, converts, and filters your images straight from a signed URL. One binary, no pre-generated thumbnails, no build step: the URL is the API.

Everything an image pipeline does, in one signed URL: resize, crop, adjust, shape, overlay, and encode, chained in the order written, plus background removal, studio mode, smart face-safe crops, redaction, and content provenance. Ask for JSON instead of an image and the meta endpoint describes the picture: dimensions, detections, OCR text, and more.

crabcrop is for sites and apps that serve the same images at many sizes and want signed, cacheable image URLs in front of an origin image store.

Install

Shell installer (macOS and Linux):

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/dayvson/crabcrop/releases/latest/download/crabcrop-installer.sh | sh

Docker: the base image, and the AI variant with background removal and face detection on board:

docker pull ghcr.io/dayvson/crabcrop:0.9.9

docker pull ghcr.io/dayvson/crabcrop-ai:0.9.9 docker run -e CRABCROP_SECRET=your-secret-change-me -p 3000:3000 ghcr.io/dayvson/crabcrop:0.9.9

A secret of at least 16 bytes is the only required configuration; the server will not start without one. By default the loader fetches public sources and refuses sources that resolve to private addresses, and an allowlist names any exceptions. See Configuration.

Release binaries: prebuilt tarballs for macOS and Linux, on x86_64 and arm64, are on the releases page.

crates.io: cargo install crabcrop builds the current release from source; the prerequisites are in Deployment.

Quickstart

1. Start the server. For local development, also allow unsigned URLs:

CRABCROP_SECRET=local-dev-secret CRABCROP_ALLOW_UNSAFE=1 cargo run --release

crabcrop listening on port 3000

2. Request an image. This resizes a source photo to 300x200:

curl "http://localhost:3000/unsafe/300x200/https://example.com/photo.jpg" --output photo.jpg

Replace example.com/photo.jpg with the URL of an image you control. You get back a 300x200 JPEG.

3. Sign your URLs in production. Drop CRABCROP_ALLOW_UNSAFE and put an HMAC signature in the first path segment:

curl "http://localhost:3000/9e24ae8bf61c0d40cb6f1ca9f9e1d3e771f6c8bc8b8ab7270e6d15458d4c14ab/300x200/https://example.com/photo.jpg" --output photo.jpg

That signature is HMAC-SHA256 of 300x200/https://example.com/photo.jpg under the secret from step 1. The SDKs and the crabcrop sign command compute it for you; the full signing rules are in URL grammar and signing.

How requests work

Every image request has three parts:

GET /<signature>/<operations>/<source-url>

The signature is an HMAC-SHA256 (hex) of everything after it, or the literal unsafe on a server that allows it. Operations are zero or more segments, applied in path order. The source is a full URL, a bucket or file locator, or a short root: reference the server expands against origins it keeps to itself.

A signed URL names a transformation of a source locator, not the source's contents: the cache key is built from the operations and the locator, so if the image at a source changes, a purged entry re-renders the new image under the same URL. Because successful responses carry a one year immutable cache lifetime, a source that must stay fixed under its URL should be versioned or immutable itself (a content hash in the source path is the usual way). A render is cached under the canonical form of its operations, so equivalent spellings share one entry. A preset: segment names an operation string held on the server, so templates stay short and the transformation menu stays operator controlled.

One URL, decoded

https://img.example.com/<signature>/crop:1200x630:smart/filters:format(webp):quality(80)/https://example.com/photo.jpg

Smart-crops the photo to the 1200x630 social card size, keeping the subject and any detected faces whole, then encodes it as WebP at quality 80. Sign it with the TypeScript or Python SDK, the crabcrop-url Rust crate, the CLI, or plain curl: same inputs, same URL.

Send Accept: application/json with the same URL and the answer is the render's meta document instead of its bytes: dimensions, format, byte size, and provenance, with richer annotations as opt-ins.

Features

  • All major formats, in and out. JPEG, PNG, WebP, GIF, AVIF, and JPEG XL, in and out. HEIC and HEIF decode only; SVG decodes, sanitized and rasterized. Name no format and the Accept header decides: AVIF first, then JPEG XL, then WebP. An explicit format(...) always wins.
  • More than photos. The source can be one frame of a video, one page of a PDF, an object in S3 or GCS, a local file, or a short root: reference. Originals can also arrive through the signed upload endpoint, off by default.
  • 51 filters, one chain. Resize, crop, fit-in, and pad are their own path segments. The 51 filters chain inside one filters: segment, everything running in the order written.
  • Smart crop, face safe. The crop window finds the subject, and keeps detected faces whole instead of clipping them at the edge.
  • Studio mode. The listing shot in one filter: cut out, backdrop, contact shadow, margin. Or studio(scene) reframes the photo on its subject and corrects the light and color.
  • Background removal. Your ONNX model, in process. The subject stays, the background becomes real alpha.
  • AI upscale. Super-resolution from a model you supply rebuilds detail instead of stretching pixels, and it never falls back to a plain resize.
  • Object removal. Name a rectangle and an inpainting model fills it in from the surrounding pixels. Everything outside the rectangle comes back bit-identical.
  • Face detection and redaction. Blur or pixelate faces, or every detected object of a class, following the object's silhouette when a segmentation model is configured. Redaction never guesses: a detection failure fails the request.
  • Metadata that describes the picture. JSON meta for every render: dimensions, format, byte size, provenance. Richer answers are opt-ins with their own model sets: CLIP tags and alt text, detections, moderation verdicts, embeddings, an aesthetic score.
  • Reads the text in the picture. Opt a meta request in and the answer reads the picture: the text lines in reading order, each with its box and a confidence score. The annotation never touches the image bytes.
  • Provenance, checked and signed. Meta reports the C2PA Content Credentials a source carries: manifest present, whether it validates, who signed it. With your own certificate, outputs are signed as served, the source recorded as an ingredient, so the chain survives the transform.
  • Sealed URLs. For links that stay public but unreadable: the whole recipe, operations and source, encrypted into one opaque token in the signature slot. Only the server opens it. The readable form stays the default.
  • Presets and purge. Server-side preset names keep templates short. Purge one result, or a whole preset group, with signatures from their own subkey.
  • URLs that explain themselves. Put explain/ in front of any signed URL and the server reports on it instead of serving the image.
  • Sources on your terms. The loader fetches only what your policy allows: host allowlists, private address blocking, the source policy re-checked on every redirect hop, and fixed fetch and decode bounds, so a small file cannot expand into gigabytes.

Documentation

This README is the front door. The full reference lives on the website and in this repo's docs folder:

  • Full documentation: every operation with examples and interactive demos, section by section.
  • Playground: build, sign, preview, and debug URLs in the browser. The secret never leaves the page.
  • The reference, in this repo:
  • URL grammar and signing: request anatomy, signing, sealed and expiring URLs, source images and source roots.
  • Operations: resize, fit-in, pad, the crop family, focal forms, debug view, presets.
  • Filters: the pixel filters, encoding directives, watermark, overlay, text, the AI filters, and studio mode.
  • Media sources: format negotiation, video output, video frames, PDF pages.
  • Meta and provenance: meta responses and C2PA verification and signing.
  • Responses and errors: response headers, the cache tiers, color management, the fallback image, and the error table.
  • Endpoints and CLI: health, metrics, purge, uploads, self-explaining URLs, cache groups, and the command line verbs.
  • Configuration: every environment variable, server-wide default operations, rotating the secret.
  • AI features: the model-backed features and declared detectors.
  • Clients and SDKs: the Rust crate, the TypeScript and Python SDKs, framework loaders, the WordPress plugin, and the MCP server.
  • Deployment: platform recipes, CDN guides, and production notes.

SDKs and integrations

Build and sign URLs from code: @crabcrop/url for TypeScript, crabcrop_url for Python, and the crabcrop-url Rust crate, all running the same spec test vectors, so client and server cannot drift. Loaders and integrations cover Next.js, Nuxt, Hydrogen, Astro, and SvelteKit, plus a WordPress plugin. For coding agents, a first-party MCP server exposes signing, explaining, meta, and purge over the same surface. Details in Clients and SDKs.

The server binary doubles as its own operator CLI: crabcrop sign, explain, meta, purge, seal, upload, and convert-thumbor run against a server (or offline, for the grammar-only verbs) with the same configuration conventions.

Migrating from another service: guides for Thumbor, imgproxy, Cloudinary, imgix, Cloudflare Images, ImageKit, and Gumlet.

Deployment

Every recipe runs the same server, configured entirely through the environment. Release images are published to GHCR as ghcr.io/dayvson/crabcrop, with the AI variant at ghcr.io/dayvson/crabcrop-ai. Recipes ship for Kubernetes (Helm and Kustomize), ECS Fargate, Cloud Run, Container Apps, Docker Compose, and a binary on a VM, plus CDN guides for Cloudflare, CloudFront, Fastly, BunnyCDN, and Akamai. See Deployment.

Development

cargo build --locked

bash scripts/test_all.sh

Security

Found a security vulnerability? Please report it privately: see SECURITY.md. Please do not open a public issue, pull request, or discussion for security problems.

License

MIT. See LICENSE.

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