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Developer Tools MCP servers supercharge your coding workflow by connecting AI assistants to your development stack. From Git operations and code analysis to deployment and debugging, these servers let Claude, Cursor, and VS Code interact with your tools directly.
MCP Server Listings
Ref Tools
Supercharge your AI coding agent with focused, efficient access to documentation. Ref MCP empowers LLM tools to search and extract only the most relevant technical content from APIs, libraries, and services, reducing token usage and avoiding information overload. Smart filtering and precise page reading help your agent find just what it needs, making code generation and research faster, cheaper, and more accurate. Designed to support evolving agent workflows, Ref MCP ensures your AI always has up-to-date documentation context without unnecessary noise or cost, optimizing both performance and productivity for modern AI-powered development.
Deepcon
Deepcon is a powerful MCP (Model Context Protocol) server that provides AI agents with intelligent access to package documentation. Instead of searching the web or relying on outdated training data, your AI coding agents can search through up-to-date documentation using semantic search.
shadcn/ui
The shadcn MCP Server allows AI assistants to interact with items from registries. You can browse available components, search for specific ones, and install them directly into your project using natural language. For example, you can ask an AI assistant to "Build a landing page using components from the acme registry" or "Find me a login form from the shadcn registry".
Svelte
Official Svelte documentation access and code analysis server that provides up-to-date reference material, playground link generation, and intelligent autofixer capabilities for detecting common patterns, anti-patterns, and migration opportunities in Svelte 5 and SvelteKit projects.
Payload CMS
Provides validation, query, and code generation services for Payload CMS 3.0 development, enabling developers to validate collections, execute SQL-like queries against validation rules, and scaffold complete projects with Redis integration for persistence.
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