productivity & workflow向けの厳選されたMCPサーバーコレクションをご覧ください。9692個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Processes transcriptions with natural formatting, contextual repair, and intelligent summarization using Deep Thinking LLMs.
Provides audio feedback for code generation in Cursor by playing sound effects.
Extends Claude Desktop with custom Model Context Protocol (MCP) servers to enhance software development assistance.
Provides tools for interacting with the Trello API through a Model Context Protocol (MCP) server.
Enables interaction with Microsoft Dynamics 365 through the Model Context Protocol.
Automates the generation of LinkedIn post drafts from YouTube videos by extracting transcripts, summarizing content, and creating engaging posts.
Adapts LibreOffice functionality for use with an MCP server, enabling automation and control of Writer, Calc, Impress, Draw, Base, and Math tools.
Enables AI assistants to directly manage translations and projects within Weblate via the Model Context Protocol.
Manages arXiv academic papers, offering search, PDF download links, content parsing, and access to the latest AI research.
Empowers large language models to continuously learn, synthesize, and leverage knowledge through a lightweight, local-first knowledge management system.
Integrates Spotify control with AI assistants via the Model Context Protocol, enabling music management through natural language commands.
Empower the creation of financial deep-research agents by integrating web search, scraping, and entity extraction into composable analysis flows.
Optimizes API token usage by up to 80% for MCP servers through automated schema learning and intelligent response filtering.
Integrates AI assistants with your Skylight family calendar, chores, lists, meals, and rewards for seamless management.
Provides an MCP server for secure interaction with Poland's National e-Invoice System (KSeF).
Enables large language models to control a computer's mouse and keyboard through an MCP or HTTP server wrapper for PyAutoGUI.
Orchestrates multi-agent tasks for AI agent teams with Kanban, DAG dependencies, auto-retry, and an audit trail.
Enables AI agents to compose complex MCP tool workflows using Unix-style pipelines that execute server-side.
Extends Claude's capabilities with a comprehensive collection of tested plugins, hooks, agents, and resources for enhanced development workflows.
Injects canonical Western literature into AI interactions to provide deep humanistic context for engineering decisions and maximize compute spend.
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