developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 13671개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a Model Context Protocol (MCP) server for storing and retrieving AI agent memories.
Converts git repositories and local file paths into structured, LLM-ready prompt formats, providing context for AI models.
Indexes local code repositories for rapid, AI-powered search capabilities using the Model Context Protocol.
Automates the setup of custom CI/CD pipelines for AWS Amplify Gen 2 applications with comprehensive auto-fix capabilities.
Integrates AI assistants with Obsidian vaults, enabling direct file operations and markdown content analysis.
Unifies the hosting of lightweight command-line interface tools and HTTP services by registering them as Model Context Protocol tools via configuration.
Integrates comprehensive VGC competitive Pokémon data, damage calculations, and teambuilding functionalities into LLMs.
Manages tasks via WebSocket with modular command execution and tool support, designed for integration with artificial intelligence agents.
Connects Salesforce, Atlassian, and custom resources to agents via a standardized Model Context Protocol.
Enables Claude Code and other applications to search, retrieve, and manage icons programmatically from The Noun Project API.
Runs a modular communication protocol (MCP) server for ValTown wrappers.
Provides persistent memory and context management for AI coding assistants, eliminating repetitive explanations and lost information.
Provides real-time and historical data for Dhaka Stock Exchange symbols with a robust symbol resolver.
Provides up-to-date information about the operating system.
Provides a Java-based Minecraft MCP server implementation.
Provides LLMs with structured access to Scalene's comprehensive CPU, GPU, and memory profiling for Python and C/C++ bindings.
Enables real-time WebSocket monitoring of all MCP interactions for enhanced debugging and observation.
Manages tasks with intelligent status tracking and discovers next executable tasks based on preconditions.
Manages and processes m3u8/HLS streaming content via a desktop application and the Model Context Protocol.
Locates the nearest error in JavaScript bundles (without sourcemaps) and leverages an LLM to check for codebase matches.
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