Discover and integrate MCP servers to extend Claude's capabilities
GitHub Actions Model Context Protocol Server
A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support. This server enables AI assistants to manage Gmail through natural language interactions.
MCP server for interfacing with Godot game engine. Provides tools for launching the editor, running projects, and capturing debug output.
Go server implementing Model Context Protocol (MCP) for filesystem operations.
A simple MCP application that delivers curated positive and uplifting news stories.
A Model Context Protocol (MCP) server that provides comprehensive access to LinkedIn data and functionalities using the HorizonDataWave API, enabling not only data retrieval but also robust management of user accounts.
An MCP server implementation that seamlessly connects Claude and other AI models to HubSpot CRM data. Provides tools for managing contacts, companies, and engagement activities through standardized interfaces. Simplifies contact creation, duplicate detection, and pipeline management with minimal configuration.
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
This MCP server provides image generation capabilities using the Replicate Flux model.
An implementation of Anthropic's Model Context Protocol for the Apache Unomi CDP
A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators through natural language commands.
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.
