Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.
Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.
An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.
A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.
An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.
Provides tools for automating LinkedIn job post search and management.
Job opportunities often appear in LinkedIn posts first, before they're posted on traditional job boards. By monitoring LinkedIn posts, you can discover opportunities earlier and get a competitive advantage in your job search.
Enables automated collection and AI-powered filtering of public QQ channel posts, comments, and images. Supports natural language criteria for content filtering and provides structured data storage in JSON/CSV formats.
A local MCP server that fetches any http/https webpage, extracts main content, and converts it to Markdown, serving as a drop-in replacement for the built-in WebFetch tool.