Discover and integrate MCP servers to extend Claude's capabilities
A MCP server providing realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints for bypassing anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by LLMs.
Rijksmuseum MCP integration for artwork exploration and analysis
Helps AI assistants access text content from bot-protected websites. MCP server that fetches HTML/markdown from sites with anti-automation measures using Scrapling.
MCP server for Shopify api, usable on mcp clients such as Anthropic's Claude and Cursor IDE
Local MCP server implementation for Starwind UI that you can use with Cursor, Windsurf, and other AI tools
A Model Context Protocol (MCP) server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.
A Ticketmaster MCP server that provides query capabilites from the Discovery API
MCP server for Todoist integration enabling natural language task management with Claude
MCP Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)
Tools for seamless integration of different systems and services.
Cloud infrastructure and deployment management tools.
AI-powered tools for creative design workflows across 3D and 2D mediums.
AI-powered tools for product development, design review, and performance monitoring.
Tools for monitoring, analytics, and operational efficiency.
Anthropic has recently introduced a groundbreaking update in the world of AI-powered development tools — Claude Code combined with the powerful MCP Servers. These innovations are set to redefine how developers interact with their codebases. In this article, we’ll explore a YouTube creator’s hands-on experience with Claude Code, its integration with real-world projects, and whether it could replace traditional tools like Cursor, Windsurf, and Lovable.
Discover my firsthand experience using [Claude code](https://claudecode.app) with various MCP servers for design and development. Learn how these powerful tools transformed my workflow and improved productivity across different roles.
Discover how enterprise teams, startups, and individual developers are using [Claude code](https://claudecode.app) to enhance their development processes. Learn from real-world case studies and success stories about legacy code modernization, rapid prototyping, and team productivity improvements.
Demo for the Blender MCP that lets Claude talk to Blender and manipulate it directly. In this case, we prompt “create a low poly dragon with a pot of gold”, followed by more prompting to add details like a dungeon, torches, and more detailed wings. Blender is manipulated in real-time, and since Claude can read the scene, it realises when its output is not right and self-corrects.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
