AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Connects Ableton Live to Claude AI, enabling prompt-assisted music production and session manipulation.
Build a persistent semantic graph from conversations with AI assistants using standard Markdown files.
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Converts various file types and web content into Markdown format.
Enables communication between Unity and Large Language Models for automating workflows and controlling the Unity Editor.
Enables interaction with an Obsidian vault via the Obsidian Local REST API plugin.
Facilitates communication between MCP clients and servers by bridging different transport protocols like stdio and SSE.
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Enables n8n workflows to interact with Model Context Protocol (MCP) servers for accessing resources, executing tools, and utilizing prompts.
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Documents potential implementations for Nostr-compatible relay and client software.
Provides all-in-one infrastructure for search, recommendations, Retrieval-Augmented Generation (RAG), and analytics via API.
Build a comprehensive personal knowledge base with this open-source note-taking application.
Exposes MCP stdio-based servers over SSE or WebSockets, enabling remote access and integration.
Provides a TypeScript framework for constructing Model Context Protocol (MCP) servers.
Build Java enterprise applications with a restrained, efficient, open, and ecological framework.
Provides a catalog of official Microsoft MCP server implementations for AI-powered data access and tool integration.
Create and configure development containers from devcontainer.json files, providing isolated development environments.
Enhances AI model reasoning by making it recursively evaluate and refine its responses through self-argumentation.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata via the Model Context Protocol.
Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API.
Provides a secure runtime environment for fully-autonomous AI agents, designed for enterprise-grade deployment.
Automate and control various Apple applications and services through the Model Context Protocol.
Integrates advanced AI capabilities directly into Zotero, enabling users to chat with PDFs, extract detailed insights, and streamline research workflows.
Provides a collection of example UI components and Model Context Protocol (MCP) servers to demonstrate building rich applications for ChatGPT.
Enables AI agents to control web browsers via a Chrome extension, offering full Playwright API access with minimal context overhead.
Aggregates search results from various web search services through a unified metasearch library.
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