developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 20520개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Transforms basic user queries into optimized prompts for AI systems by leveraging a modular, template-based approach.
Provides an integrated server and UI panel within VS Code/Cursor for retrieving and displaying command-line tool documentation.
Interfaces with Typesense as a Model Context Protocol (MCP) Server.
Empowers AI assistants to deeply understand and effectively work with any codebase through AI-powered analysis.
Manages Coolify deployments through AI-powered Model Context Protocol (MCP) tools and command-line interfaces.
Enables AI assistants to access Automatisch workflow automation capabilities through the Model Context Protocol.
Enables comprehensive remote control of ESP32 CYD boards through a WebSocket-based Model Context Protocol (MCP) interface.
Enables large language models to fetch, process, and interact with web content using customizable HTTP requests.
Transforms productivity management for ADHD minds by leveraging AI agents to automate organization and task processing.
Implements a streamable HTTP server with verbose logging, adhering to official MCP patterns for robust session and transport management.
Transforms your AI assistant into a mobile development powerhouse, providing seamless integration for Flutter, iOS, and Android.
Enables AI agents to deploy, monitor, and fix applications on your own servers without YAML or Kubernetes expertise.
Facilitates natural language interaction and comprehensive management of PostgreSQL databases via an MCP-compatible client.
Provides an MCP server to integrate Yandex Tracker and Wiki with MCP-capable clients.
Enables AI assistants to control Pro Tools for advanced audio production workflows and comprehensive session management.
Enables AI-powered game development within Roblox Studio through a dedicated plugin and server.
Retrieves and manages Claude Code components, resolving dependencies for optimal integration into AI projects.
Scores your Claude Code Second Brain setup across 45 check layers and 3 dimensions to identify areas for improvement.
Exposes Prometheus metrics, queries, and system information via a standardized Model Context Protocol (MCP) interface for AI integration.
Provides AI coding assistants with secure, read-only access to database schemas and data, enabling direct inspection and safe query execution from the IDE.
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