Merge pull request #1008 from zemaj/add-just-every-mcp-servers

Add just-every MCP servers for web content extraction and screenshots
This commit is contained in:
Frank Fiegel
2025-06-29 06:39:04 -04:00
committed by GitHub

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@@ -791,6 +791,8 @@ Provides the ability to handle multimedia, such as audio and video editing, play
- [vectorize-io/vectorize-mcp-server](https://github.com/vectorize-io/vectorize-mcp-server/) ☁️ 📇 - [Vectorize](https://vectorize.io) MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
- [webscraping-ai/webscraping-ai-mcp-server](https://github.com/webscraping-ai/webscraping-ai-mcp-server) 🎖️ 📇 ☁️ - Interact with [WebScraping.ai](https://webscraping.ai) for web data extraction and scraping.
- [zhsama/duckduckgo-mcp-server](https://github.com/zhsama/duckduckgo-mpc-server/) 📇 🏠 ☁️ - This is a TypeScript-based MCP server that provides DuckDuckGo search functionality.
- [just-every/mcp-read-website-fast](https://github.com/just-every/mcp-read-website-fast) 📇 🏠 - Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown while preserving links. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching.
- [just-every/mcp-screenshot-website-fast](https://github.com/just-every/mcp-screenshot-website-fast) 📇 🏠 - Fast screenshot capture tool optimized for Claude Vision API. Automatically tiles full pages into 1072x1072 chunks for optimal AI processing with configurable viewports and wait strategies for dynamic content.
- [zoomeye-ai/mcp_zoomeye](https://github.com/zoomeye-ai/mcp_zoomeye) 📇 ☁️ - Querying network asset information by ZoomEye MCP Server
- [yamanoku/baseline-mcp-server](https://github.com/yamanoku/baseline-mcp-server) 📇 🏠 - MCP server that searches Baseline status using Web Platform API
- [joelio/stocky](https://github.com/joelio/stocky) 🐍 ☁️ 🏠 - An MCP server for searching and downloading royalty-free stock photography from Pexels and Unsplash. Features multi-provider search, rich metadata, pagination support, and async performance for AI assistants to find and access high-quality images.