Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.

sitemcp is a tool that can crawl the content of an entire website and use it as an MCP server. It supports functions such as custom page matching and content selectors, and is suitable for quick retrieval of documentation and blog - type websites.

Notte is an open-source full-stack network AI agent framework that provides browser sessions, automated LLM-driven agents, web page observation and operation, credential management, etc. It aims to transform the Internet into an agent-friendly environment and reduce the cognitive burden of LLMs by describing website structures in natural language.

The Scrapezy MCP Server is a service that enables AI models to extract structured data from websites and supports data scraping through tools such as Claude.

An MCP server tool that helps AI assistants bypass website anti-scraping mechanisms to obtain text content

The GoPlus Security MCP Server provides blockchain security analysis tools based on the GoPlus Security API, including Rug Pull detection, phishing website identification, NFT security analysis, etc. It supports multiple mainstream blockchain networks such as Ethereum, BSC, and Polygon.

Scrapezy MCP Server is an AI model service for extracting structured data from websites, supporting data scraping through tools such as Claude.

PassportMCP is a toolkit that allows users to build an MCP server for any website and automatically synchronize browser authentication information. It captures the authentication status through a Chrome extension, stores it locally, and injects it into HTTP requests, enabling access to website data without a developer API.

An MCP service that automatically generates a complete website icon set, supporting the creation of favicons, Apple Touch icons, and web app manifest files in various sizes from PNG images or URLs.

WebMCP is a project that allows websites to support client-side LLMs (Large Language Models). It enables the sharing of tools, resources, and prompts between websites and LLMs through a local WebSocket server without the need for API keys and supports multiple models.

The Umami Analytics MCP Server is a model context protocol server that enhances Claude's capabilities. It provides access to Umami website analytics data, supporting user behavior analysis and website performance tracking.

An MCP server based on Playwright and Lighthouse for website performance analysis and screenshot capture.

GistPad MCP is a Node.js-based server for managing personal knowledge, daily notes, and reusable prompts via GitHub Gists. It works with the VS Code extension and the GistPad.dev website, supporting access to and editing of Gists from any MCP-compatible AI product.

A research - level MCP server implementation that interacts with the Perplexity website without an API key, providing AI - driven research functions such as web search, document retrieval, API lookup, and code analysis.

The YggTorrent MCP Server & Wrapper is a Python wrapper and MCP server for programmatically interacting with the YggTorrent website. It provides functions such as searching for torrents, obtaining torrent details, magnet links, and downloading .torrent files, and supports integration with other applications through the MCP protocol.

MCP - URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access URLs, simplifying the process of generating and sharing web page snapshots.

CodeDox is a powerful document and code extraction and search system that supports crawling document websites, extracting code snippets, and providing a fast search function through the MCP protocol.

A hot news server based on the MCP protocol that aggregates real - time hot topics from 9 major Chinese mainstream social platforms and news websites, supporting AI model integration and popularity index display.

A multi-platform job aggregation service based on the MCP architecture, supporting the acquisition and standardization of job data from mainstream recruitment websites and providing structured support for large models.

This project provides a set of toolkits for crawling website content and generating Markdown documents. At the same time, it realizes the semantic search function of documents through the MCP server and supports integration with tools such as Cursor.