Discover and integrate MCP servers to extend Claude's capabilities
Postgres MCP Pro provides configurable read/write access and performance analysis for you and your AI agents.
CTX: A tool for generating structured documentation from files, repositories, diffs, and URLs through a modular architecture with powerful configuration options for AI-assisted development workflows. The missing link between your codebase and your LLM. Context as Code (CaC) tool with MCP server inside.
An MCP (Model Context Protocol) server for generating Xmind mind maps. This server allows LLMs to create structured mind maps through the MCP protocol.
MCP Server implementation for the Model Context Protocol (MCP) enabling AI tool usage - Realtime Flight Search
Powerful Model Context Protocol (MCP) implementation for visualizing directory structures with real-time updates, configurable depth, and smart exclusions for efficient project navigation
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
A Whistle proxy management tool based on Model Context Protocol that allows AI assistants to directly control local Whistle proxy servers, simplifying network debugging, API testing, and proxy rule configuration through natural language interaction.
MCP server to give llms such as Claude, GitHub Copilot etc full PowerBI model context (from input .pbix) through tools based on PBIXRay python package.
MCP Server for the Peacock extension for VS Code, coloring your world, one Code editor at a time. The main goal of the project is to show how an MCP server can be used to interact with APIs.
WhatsApp MCP Server (TypeScript/Baileys)
MCP tool for LLM interaction with EPUB and PDF files.
FRED (Federal Reserve Economic Data) API integration with Model Context Protocol (MCP)
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
MCP server for fetch web page content using Playwright headless browser.
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.
