AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Queries the USGS Earthquake API using natural language through a Model Context Protocol (MCP) server.
Provides a file upload service leveraging the Model Context Protocol (MCP).
Provides a Python client for interacting with the CGV Cinema mobile API to access movie listings, locations, schedules, and seat maps.
Runs a modular communication protocol (MCP) server for ValTown wrappers.
Proxies and enhances the MLB Stats API, providing entity resolution and optimized data access.
Provides a server component for managing or integrating with the Amap mapping platform.
Facilitates asynchronous video generation using Amazon Nova Reel and AWS Bedrock through a Model Context Protocol (MCP) server.
Exposes the full VSCode API and commands for external scripting and automation, enabling external control over VSCode sessions.
Provides AI assistants with comprehensive, reliable access to EVE University Wiki content, including automatic Wayback Machine fallback.
Provides a structured, standards-compliant API for serving machine learning metadata, service discovery, and ML content, enabling AI applications to efficiently discover model context and artifacts.
Enables Large Language Models to co-debug Texas Instruments embedded systems by providing real-time variable monitoring, memory manipulation, and analytical capabilities through an OpenOCD proxy architecture.
Execute Python code with persistent state and manage Jupyter notebooks directly within Claude AI conversations.
Enables conversational power system analysis by connecting Claude AI with EPRI's OpenDSS simulator.
Provides a Model Context Protocol server that enables AI agents to simulate breaks, manage stress, and navigate social constraints in a humorous, simulated work environment.
Unifies AI development by enabling seamless workflows across multiple models through a single interface.
Enables AI assistants to download files from specified URLs directly to the local filesystem.
Provides programmatic access to local filesystems with glob and grep capabilities.
Enables Large Language Models to efficiently access, analyze, and extract information from STDF-V4 files used in semiconductor testing.
Provides a monorepo of three distinct Model Context Protocol (MCP) server implementations for various runtime environments and use cases.
Streamlines AI development by providing comprehensive rules and configurations for consistent, high-quality coding across multiple AI copilots.
Provides local audio transcription capabilities using the Whisper speech-to-text model through a lightweight Model Context Protocol (MCP) server.
Equips AI agents with memory, self-awareness, and the ability to replay and undo actions for robust autonomous operation.
Empowers AI assistants to deeply read, analyze, and synthesize scientific breakthroughs from ArXiv in real-time.
Provides instant access to EMC emission limits, frequency allocations, restricted bands, and compliance requirements for various standards.
Establishes a shared, local memory for AI assistants, automatically capturing ambient context from your environment to ensure consistent understanding.
Tiles large images and screenshots to prevent LLM vision downscaling, ensuring every detail is visible to models like Claude, GPT-4o, and Gemini.
Optimize AI coding agent context windows by providing local RAG memory, reducing prompt tokens with hybrid semantic and keyword search.
Aggregates over 15,000 Claude Code skills, plugins, and Model Context Protocol servers from 17 sources for streamlined discovery.
Routes sensitive prompts to local LLMs by classifying text for private information, ensuring data privacy in AI interactions.
Makes Claude conversation history searchable and queryable through a local SQLite database.
Scroll for more results...