Discover and integrate MCP servers to extend Claude's capabilities
Python and TypeScript library for integrating the Stripe API into agentic workflows
A MCP server for using Semgrep to scan code for security vulnerabilities.
StarRocks MCP (Model Context Protocol) Server
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MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines
MCP server for interacting with SingleStore Management API and services
An MCP server that integrates with the MCP protocol. https://modelcontextprotocol.io/introduction
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.
Complete guide to Playwright MCP - the powerful Model Context Protocol server that enables AI agents to perform advanced browser automation, web testing, and site exploration with intelligent decision-making capabilities.
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.
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.
