Discover verified Model Context Protocol servers to extend your AI assistants. Install configs for Claude Code, Cursor, VS Code, and more.
Browse 260 MCP servers across databases, communication platforms, cloud providers, DevOps pipelines, analytics services, and version control systems. Each server entry includes verified compatibility badges, GitHub star counts, transport type, install commands, and security notes. The Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude, Cursor, and GitHub Copilot interact with external tools and data sources through a unified interface — find the right server to connect your AI workflow to the services you already use.
Bridge between AI coding assistants and Chrome DevTools Protocol, enabling AI-powered web debugging and testing. The server connects to Chrome/Chromium instances and provides tools for inspecting DOM elements, monitoring network requests, capturing console output, profiling performance, and taking screenshots — all accessible to your AI assistant. Ideal for automated testing workflows where the AI can observe application behavior, identify issues, and suggest fixes based on actual runtime data rather than just reading source code.
Connect AI coding assistants to JetBrains IDEs (IntelliJ, WebStorm, PyCharm, GoLand) for advanced refactoring, navigation, and code analysis. The server leverages JetBrains' powerful code intelligence — type inference, refactoring tools, inspections, and project model — making them available to any MCP-compatible AI assistant. Your AI can trigger safe refactorings, run inspections, navigate complex type hierarchies, and leverage IDE-specific features that aren't available through simple file system access.
Create and manage ngrok tunnels from your AI coding assistant. Expose local services to the internet, configure custom domains, set up webhook verification, and manage tunnel authentication. The server makes it easy to share local development servers, test webhooks, and demo applications without deploying. Your AI can create tunnels for specific ports, configure HTTP/TCP endpoints, manage reserved domains, and inspect tunnel traffic for debugging.
Control VS Code programmatically from AI coding agents running outside the editor. This server exposes VS Code's extension API through MCP, allowing terminal-based agents like Claude Code to open files, navigate to symbols, run tasks, manage extensions, and interact with the editor state. It bridges the gap between terminal AI agents and IDE capabilities — your AI can trigger VS Code commands, read editor state, manage workspace settings, and leverage installed extensions without you manually switching contexts.
Query the NPM registry for package information, version history, dependency trees, and download statistics directly from your AI assistant. Search for packages by keyword, compare alternatives, check for security vulnerabilities, analyze bundle sizes, and discover trending packages. The server also provides tools for managing your own published packages — update metadata, manage access, and view download analytics. Particularly useful when making technology decisions or auditing project dependencies.
