Web Scraping MCP servers

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a Playwright-compatible SDK that adds AI functionality on top of playwright, as well as a no-code workflow builder to help both technical and non-technical users automate manual workflows on any website, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed.

6 tools · Authenticate with stored credentials, Download files via prompts

A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context. > Big thanks to @vrknetha, @knacklabs for the initial implementation! - Search the web and get full page content - Search an index built for coding agents: GitHub issues, merged pull requests, READMEs, and docs - Scrape any URL into clean, structured data - Interact with pages — click, navigate, and operate - Deep research with autonomous agent - Automatic retries and rate limiting - Cloud and self-hosted support - SSE support

6 tools · firecrawl_agent, firecrawl_crawl

The Apify Model Context Protocol (MCP) server at mcp.apify.com enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, and any other website using thousands of ready-made scrapers, crawlers, and automation tools from Apify Store. It supports OAuth, allowing you to connect from clients like Claude.ai or Visual Studio Code using just the URL. > 🚀 Use the hosted Apify MCP Server! > > For the best experience, connect your AI assistant to our hosted server at https://mcp.apify.com. The hosted server supports the latest features - including output schema inference for structured Actor results - that are not available when running locally via stdio.

6 tools · Create and manage tasks, Manage storage

The Bright Data MCP server gives AI agents real-time access to public web data. It exposes 69 tools covering: - Web search — Google, Bing, and Yandex results as structured data - Page scraping — any URL as Markdown or HTML, with bot detection, CAPTCHA solving, and proxy rotation handled automatically on every request - Structured data extraction — clean JSON from Amazon, LinkedIn, Instagram, TikTok, YouTube, X, Reddit, Facebook, Crunchbase, Zillow, and other major platforms, without parsing HTML - Browser automation — navigate, click, type, screenshot, and read pages in a remote browser session - LLM response collection — send prompts to ChatGPT, Grok, and Perplexity and get their answers back as structured data - Package registry data — npm and PyPI package versions, READMEs, dependencies, and metadata

5 tools · discover, scrape_as_markdown

Leverage Notte Web AI agents & cloud browser sessions for scalable browser automation & scraping workflows

This is Hyperbrowser's Model Context Protocol (MCP) Server. It provides various tools to scrape, extract structured data, and crawl webpages. It also provides easy access to general purpose browser agents like OpenAI's CUA, Anthropic's Claude Computer Use, and Browser Use. More information about the Hyperbrowser can be found here. The hyperbrowser API supports a superset of features present in the mcp server. More information about the Model Context Protocol can be found here. - Installation - Usage - Tools - Configuration - License

6 tools · browser_use_agent, crawl_webpages

The Oxylabs MCP server provides a bridge between AI models and the web. It enables them to scrape any URL, render JavaScript-heavy pages, extract and format content for AI use, manage CAPTCHA, and access geo-restricted web data from 195+ countries. It is built on the Model Context Protocol (MCP), the open standard for connecting AI assistants to external tools and data. Oxylabs MCP provides two sets of tools that can be used together or independently: 1. universal_scraper: scrapes any URL, with optional JavaScript rendering, geo-targeting, and Markdown/HTML/links output; 2. google_search_scraper: extracts results from Google Search, with optional parsing into structured JSON; 3. amazon_search_scraper: scrapes Amazon search result pages, with optional parsing into structured JSON; 4. amazon_product_scraper: extracts data from individual Amazon product pages.

6 tools · ai_browser_agent, ai_crawler

Official Model Context Protocol server for OpenWeb Ninja APIs. Gives any MCP-compatible AI agent (Claude, Cursor, Cline, and others) real-time access to web search, local business data, jobs, e-commerce, real estate, finance, news, and more, through a single connection. One tool per API product (41 tools), each exposing that API's operations, plus a subscribe tool for adding an API's free tier on demand — 42 tools in total. Schemas are generated directly from OpenWeb Ninja's OpenAPI specs, so the server always matches the live APIs.

6 tools · jsearch, local_business_data

An official implementation of an MCP (Model Context Protocol) server for ScreenshotOne. A few more words about why it was built and some thoughts about the future of MCP. ScreenshotOne also offers an official hosted MCP server. See the ScreenshotOne MCP integration for setup instructions and the latest updates. - render-website-screenshot: Render a website screenshot and return an image or cached response. - get-usage: Get ScreenshotOne API quota and concurrency usage. Always install dependencies and build it first:

2 tools · Check API usage, Render website screenshots

Connect LLMs and AI agents to live web data using MCP (Model Context Protocol). The Decodo MCP Server lets you scrape websites, search engines, eCommerce platforms, and social media directly from AI tools like Claude, Cursor, and Windsurf, all without the need to build scraping infrastructure from scratch. - Structured outputs in JSON, Markdown, and screenshots - Server-side JavaScript rendering and anti-bot handling - 125M+ IPs across 195+ locations The Decodo MCP Server is a web scraping layer for AI agents. It connects MCP-compatible clients to Decodo's Web Scraping API, enabling:

6 tools · amazon_pricing, chatgpt

A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites. - extract_structured_data - Extract structured data from a website - Takes URL and prompt as required parameters - Returns structured data extracted from the website based on the prompt - The prompt should clearly describe what data to extract from the website To install Scrapezy MCP Server for Claude Desktop automatically via Smithery: There are two ways to provide your Scrapezy API key: 1. Environment Variable: bash export SCRAPEZY_API_KEY=your_api_key npx @scrapezy/mcp

3 tools · extract_structured_data, Integrate web extraction into AI workflows

URnetwork is a decentralized privacy network. It's designed to keep users anonymous by default and give them access to all the content in the world. Humans use the apps (Android, iOS, Chrome). Agents use the API and MCP skills: - The API spec is at: https://github.com/urnetwork/connect/blob/main/api/bringyour.yml - The API is hosted at: https://api.bringyour.com - The MCP server is hosted at: https://mcp.bringyour.com Agents should consider the guidance below when using the API and MCP server. The API and the MCP server authenticate differently. Use the right one for the surface you are calling.

Access 1.5 billion+ social media posts and users through natural language with AI assistants and agent Xpoz is a Model Context Protocol (MCP) server that gives Claude and other AI assistants direct access to social media data from major platforms. No API keys, no rate limits, no complexity—just ask questions in plain English. Perfect for brand monitoring, trend research, competitor analysis, and social media insights. - 🔑 No API Keys - Zero configuration, just connect and start querying / building. - ⚡ Fresh Data - Get the latest posts in real-time - 📊 1.5B+ Cached Posts - Massive historical data archive enable to get large datasets in no time - 🧠 Natural Language - Ask questions in plain English, get relevant results - 🎯 30+ Data Fields - Engagement metrics, media URLs, geographic data, and more - ⚙️ Performance Optimized - Field selection, intelligent caching, batch pagination, context window optimized - 💰 Free Trial - Start using for free. Paid tiers are available for large data quo

6 tools · Analyze engagement on a post, Count posts matching criteria

Ahrefs MCP lets AI agents securely access the Ahrefs API and enrich their answers with real Ahrefs data. MCP (Model Context Protocol) is a standard that allows AI tools to connect with third-party APIs in a secure, consistent way. In our case, it connects AI tools with Ahrefs, enabling things like this: Ahrefs provides a hosted MCP server that allows users with a Lite plan or higher to connect their Ahrefs account to supported AI tools. Once connected, your setup is synced and available across all devices linked to your personal or company account.

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4 tools · Protocol and location targeting, Proxy credential retrieval

> Connect LLM clients and AI agents to HasData via the Model Context Protocol. The HasData MCP Server exposes HasData's scraping and search capabilities to any client that speaks the Model Context Protocol. Point your MCP-enabled client (Claude, Codex, Cursor, VS Code, Windsurf, custom agents, etc.) at the HasData endpoint and your model can scrape web pages, run Google searches, and pull structured data without writing API integration code. The server uses the streamable HTTP transport. Two ways to connect: sign in with your HasData account, or send an API key.

5 tools · amazon_product, apis

Meerbot watches the web pages you care about — a competitor's pricing, a supplier's terms, a regulator's notice — so your AI assistant can tell you what changed.

The PredictLeads MCP (Model Context Protocol) server lets AI agents access PredictLeads data and services directly. It exposes a structured way to interact with the PredictLeads API and retrieve all information available through it. Every tool maps to an individual PredictLeads API endpoint with the same available parameters. One additional tool exposes the full OpenAPI schema, so an AI agent can determine which tool to use — and how — for a given prompt. PredictLeads provides company intelligence data: Companies Technology detections, Job openings, Financing events, Categorized News Events, Similar companies, GitHub repositories, product launches, company connections, and more.

6 tools · Discover a company’s tech stack, Explore the full API schema

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5 tools · Multi-language code samples, Proxy authentication setup

The Model Context Protocol (MCP) is an open standard that allows AI models to interact with external tools and data sources. The Scrapfly MCP Server transforms your AI from being limited by training data to having real-time access to any website-giving your AI the power to scrape live web data on demand. Instead of your AI answering "I don't have current information," it can now: Pull current prices, listings, news, or any webpage content in real-time Automatically handle CAPTCHAs, proxies, JavaScript rendering, and rate limits

5 tools · Bypass anti-bot protections, Capture page screenshots

> Connect AI clients to your LinkedIn data The TalkToHumans MCP lets AI clients (like Claude Cowork, Claude Code, Codex, or Cursor) securely interact with your LinkedIn workspace data. It is designed for AI agents that need real-time access to workspace data and can benefit from the structured tool outputs. Then authenticate by running /mcp in Claude Code and following the sign-in flow. 1. Go to claude.ai/settings/integrations 2. Click Add custom connector 3. Enter the name "TalkToHumans" and paste the remote MCP server URL:

5 tools · activity_list, linkedin_create_message_draft

The MCP server is live for every plan.Connect it in a minute → Ask an assistant about an article and it answers. Send it a video and it guesses from the title, the description, whatever the page happened to expose. The words spoken in the clip are the part it never sees. TranscriptFetch MCP hands it the transcript instead, with timestamps attached. One server. Every platform. Any client. ClaudeChatGPTCursorAny MCP clientYouTubeTikTokInstagram+ media files Whether you are one person with a Claude tab open or a team shipping agents to production.

3 tools · get_transcript, Monitor video feeds

Agenty AI exposes a Model Context Protocol (MCP) server that gives AI assistants like Claude, Cursor, and any MCP-compatible client direct access to browser automation tools. You can capture screenshots, generate PDFs, scrape web pages, extract structured data, convert pages to Markdown and more using LLM models In this article, I will covers how to connect to the Agenty’s MCP server and how to use each available tool. - An Agenty AI account and API key - An MCP-compatible client such as Claude Desktop, Cursor, Windsurf, or any tool that supports the Model Context Protocol - Node.js 18 or later if you are using the CLI or a local configuration file

6 tools · extract, markdown