"Obtaining Website Documentation Instructions" matching MCP servers:

Captures high-quality screenshots and screencasts of web pages, automatically tiling full pages into 1072x1072 chunks optimized for Claude Vision API and other AI vision models.

Converts meeting transcripts, text inputs, and images into structured Azure DevOps work items using Azure OpenAI for advanced image analysis.

Enables AI assistants to capture website screenshots and record videos of web pages by providing tools for taking screenshots, recording videos, and checking video status.

Enables AI assistants to run pay-per-result web data and media tools such as website tech stack detection, document-to-Markdown conversion, SEO audits, OCR, and domain lookups via Apify.

Enables capturing website screenshots with configurable options (format, style, full-page, viewport, delay, dark mode) and checking account balance, directly from any MCP-compatible client.

Reads website pages and generates one cohesive image per page, with no text and no recognizable human faces.

Enables an AI agent to create a building from a photo, generate a facade design, and order a line-by-line cost estimate and documentation album, using country-specific materials and construction norms.

Visual documentation MCP server with 13 tools to capture terminal screenshots, syntax-highlighted code, visual diffs, PDFs, GIFs, and more for documentation workflows.

Enables AI assistants to interact with PindouAI for converting images into Perler bead patterns, pixel art blueprints, and accessing gallery creations and website URLs.

An MCP server that integrates fal.ai's image generation and editing capabilities into MCP-compatible clients. It enables text-to-image generation, style application via LoRAs, and image editing using natural language instructions.

An official MCP server implementation that allows AI assistants to capture website screenshots through the ScreenshotOne API, enabling visual context from web pages during conversations.

Provides tools for discovering AI models, checking pricing, retrieving API documentation context, and generating integration examples; also supports paid async image/video tasks.

Orshot's MCP Server lets you dynamically generate images from your templates from your prompts in Claude, Cursor or any app that supports MCP Servers. You can use the pre-designed templates and also AI Generate or design your own templates in Orshot, and then generate images from those templates

Enables AI assistants to create Blender FX such as destruction, explosions, water, fire, particles, wind, ocean, and cloth from natural language instructions, including physics simulation and preview rendering.

An intelligent website logo extraction system built on the Model Context Protocol (MCP) that automatically identifies and extracts logo icons from websites.

Intelligently extracts and analyzes website logos from multiple sources (favicon, Apple Touch icons, OpenGraph, CSS) with automatic quality scoring and format support. Provides detailed logo information and returns the best logo URL for any given website.

Enables AI agents to create editable app store screenshot projects, manage authorized assets, review and correct designs with browser tools, and provide editor links for website export.

Enables sending pick-and-place instructions to myCobot using object detection via image feedback.

Enables AI agents to search the web for images and videos, download them into website projects with automatic optimization, and receive paste-ready HTML snippets, all self-hosted and without API keys.

MCP server for xAI Grok API with 19 tools for chat, web and X search, session management, tool chaining, image and video generation, and documentation.