skrape-mcp is an MCP server designed to convert any web page into clean, well-structured Markdown optimized for large language models, supporting JavaScript rendering and noise removal.
Added on:
Created by:
Feb 02 2025
skrape-mcp is an MCP server designed to convert any web page into clean, well-structured Markdown optimized for large language models, supporting JavaScript rendering and noise removal.
Added on:
Created by:
Feb 02 2025
Skrape.ai
Featured
What is skrape-mcp?
skrape-mcp is a server application that takes any URL as input and processes the webpage content to produce clean, structured Markdown. It automatically removes ads, navigation menus, and irrelevant content, providing noise-free output suitable for feeding into LLMs like GPT or Claude. It supports JavaScript rendering to handle dynamic content and offers optional JSON responses for developers. This makes it ideal for developers integrating web content into AI workflows, enabling structured data extraction, content summarization, and more efficient LLM processing. Its seamless design allows easy deployment either via Smithery or manual setup, and it’s optimized for high-quality, noise-reduced web content conversion.
Who will use skrape-mcp?
- Developers integrating web content into LLMs
- AI researchers processing web data
- Content creators needing structured web information
- Organizations automating content extraction
How to use the skrape-mcp?
- Step1: Obtain your API key from skrape.ai
- Step2: Install dependencies using npm install
- Step3: Build the server with npm run build
- Step4: Configure the server in your LLM application
- Step5: Input the URL in your application using the server API to fetch Markdown
skrape-mcp's Core Features & Benefits
The Core Features
- Convert web page to Markdown
- Render JavaScript content
- Remove ads and navigation
- Return output in JSON format for integrations
- Support for dynamic and static content
The Benefits
- Provides clean and structured Markdown for LLMs
- Supports JavaScript rendering for dynamic pages
- Reduces noise for better content focus
- Flexible output options for developers
skrape-mcp's Main Use Cases & Applications
- Web content ingestion for LLM training and fine-tuning
- Automated extraction of web articles and blogs
- Content summarization for research purposes
- Integration into AI workflows for structured data input
FAQs of skrape-mcp
Developer
- skrapeai
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.