Discover and integrate MCP servers to extend Claude's capabilities
An MCP server implementation for interacting with Safe (Gnosis Safe) smart contract wallets
Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.
A Model Context Protocol (MCP) server for academic tools, integrating with Canvas and Gradescope platforms.
A podman ubuntu 24.04 container that serves a MCP server; with file, code execution, bash shell, and more.
mcp-1panel is an implementation of the Model Context Protocol (MCP) server for 1Panel.
An MCP for WireShark (tshark). Empower LLM's with realtime network traffic analysis capability
A TypeScript Model Context Protocol for Twitter/X platform integration.
This is a Model Context Protocol (MCP) server that provides professional cycling data from FirstCycling. It allows you to retrieve information about professional cyclists, race results, and more.
A Model Context Protocol server for interacting with Foundry
MCP server for AI image generation and editing using Google's Gemini Flash models. Create images from text prompts with intelligent filename generation and strict text exclusion. Supports text-to-image generation with future expansion to image editing capabilities.
A Model Context Protocol (MCP) server implementation for running Locust load tests. This server enables seamless integration of Locust load testing capabilities with AI-powered development environments.
✨ JMeter Meets AI Workflows: Introducing the JMeter MCP Server! 🤯
Agent Framework / shim to use Pydantic with LLMs
The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.
Unblock, scrape, and search tools for MCP clients
A TypeScript Model Context Protocol (MCP) server to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection
PhonePi MCP enables seamless integration between desktop AI tools and your smartphone, providing 23+ direct actions including SMS messaging, phone calls, contact management, snippet creation and search, clipboard sharing, notifications, battery status checks, and remote device controls.
MCP Server for the GitHub Enterprise APIs, enabling file operations, repository management, search functionality, and more.
A Model Context Protocol (MCP) server that connects Claude and other AI assistants to your Roam Research graph.
MCP server for integrating Atlassian products (Confluence, Jira) with Model Context Protocol
A Model Context Protocol (MCP) for querying Lightning Network node data using natural language.
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.
