"General Inquiry About Requirements" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Enables MCP clients like Claude Desktop and Claude Code to drive a real browser with SeleniumBase automation. Offers three variants: WebDriver-based general automation, Pure CDP Mode for bot-detection bypass, and a broad SB() API with MFA and downloads.

Fetches web pages, converts HTML to markdown, and uses Claude to answer questions about the content.

Enables searching and extracting mountain bus tours, alpine trekking, and general tour information from Maitabi (毎日新聞旅行), providing tour search, details, and calendar tools via MCP.

Enables searching YC Work at a Startup jobs, reading job and company details, inspecting application requirements, and submitting applications with dry-run safety while tracking weekly quotas and login status.

Search for Airbnb listings and get detailed information about specific properties. Effortlessly plan your next trip with structured data and no API key required, while respecting Airbnb's guidelines.

Enables web scraping and data extraction from websites with geographic flexibility, privacy features, and anti-detection capabilities. Supports scraping general websites, Google Search, Amazon Search, and Reddit with customizable parameters for rendering, geolocation, and locale.

MCP server exposing 35 web scraping and SERP tools for general scraping, Google services, e-commerce sites, social media, and search engines. Enables MCP clients like Claude to scrape web pages and search results via natural language.

Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.

Enables searching for AI/ML internships and entry-level positions across multiple job sites including LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Monster. Automatically filters for Python proficiency and relevant AI/ML skills while providing structured job data with application URLs and detailed requirements.

Enables AI assistants to query BuiltWith's technology detection data directly, supporting natural language questions about website technologies.

It enables autonomous browsing clients to canonically compress rendered HTML into compact semantic trees, filter navigation traps, bind webform schemas, transform tables into typed records, and score interaction trajectories. Its tools operate locally over stdio with no runtime third-party requirements.

Enables AI agents to create, validate, and audit llms.txt files for websites, including checking against Google Lighthouse's Agentic Browsing requirements, via Streamable HTTP with no API key needed.

An MCP server that enables AI assistants to search and retrieve Beninese government services, procedures, and requirements from service-public.bj with real-time data and smart provider routing.

An MCP server for crawling websites and extracting comprehensive data including images, SEO metadata, security headers, and business intelligence. It features twelve distinct extraction modes to perform detailed audits for e-commerce sites and general web analysis.

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

MCP server for monitoring competitor pricing pages, scraping pricing data into SQLite, and answering plain-language questions about pricing plans via Claude.

Provides real-time access to menus from all six MIT Bon Appétit dining halls. It enables users to query daily or weekly schedules and filter options by specific dietary requirements such as vegan, halal, or gluten-free.

A zero-configuration job aggregation server that enables searching for positions and retrieving details across multiple recruitment platforms using natural language. It provides standardized data for job requirements, salary comparisons, and market trends directly within AI clients.

Converts files (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube transcripts, Bing search, general pages) to Markdown via the Model Context Protocol.