Discover and integrate MCP servers to extend Claude's capabilities
A server implementation for Wikidata API using the Model Context Protocol (MCP).
WildFly MCP server and other tooling to integrate WildFly in AI space
Model Context Protocol server for secure command-line interactions on Windows systems
An implementation of the Model Context Protocol for the World Bank open data API
A Model Context Protocol server allows to interact with Twitter, enabling posting tweets and searching Twitter.
MCP tool for building Xcode iOS workspace/project and feeding back error to LLMs.
A Model Context Protocol server allows Clients to interact with Xero
A Model Context Protocol (MCP) server that enables natural language queries to databases
MCP Server for YouTube API, enabling video management, Shorts creation, and advanced analytics
An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.
A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
Node.js server implementing Model Context Protocol (MCP) for filesystem operations.
A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.
MCP Server for the GitLab API, enabling project management, file operations, and more.
This MCP server integrates with Google Drive to allow listing, reading, and searching over files.
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
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.
