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。3850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。
Provides integrated access to Laravel documentation for quick reference within AI environments.
Define, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.
Manage tasks and projects using a command-line kanban board with integrated AI assistance.
Enhances digital reading with AI insights, transforming books into interactive learning experiences for students, researchers, and avid readers.
Provides a lightweight, modular server for Model Context Protocol (MCP) experimentation and extensibility, offering integrated tools for file management, job scheduling, data persistence, system operations, and integrations with Telegram and YouTube.
Enables AI models to interact with Jira through a standardized Model Context Protocol (MCP).
Enables AI assistants to solicit user confirmation and clarification through a standardized Model Context Protocol (MCP) elicitation process.
Provides an interactive AI assistant interface featuring a terminal-based CLI and an always-on-top window for real-time output monitoring.
Exposes Salesforce data and metadata through standardized Model Context Protocol (MCP) tools for AI assistants and clients.
Connects Large Language Models (LLMs) to the Alegra accounting API for secure data interaction and querying.
Provides specialized tools for analyzing and conducting humanitarian negotiations in high-stakes, complex environments.
Generates personalized music playlists on TIDAL based on custom criteria and listening history.
Locates files within a specified directory based on a given path fragment.
Manages todo items with a compact, RESTful backend server, supporting integration via the Minimal Control Plane protocol.
Connects Large Language Models to live Zoho Books data for natural language querying.
Summarizes agent conversations into structured documents for effortless review and retention.
Enables AI agents to systematically break down complex tasks into manageable steps and orchestrate their execution.
Ensures persistent context for AI models, simplifying interactions and preventing information loss across chat sessions.
Enables AI to fetch, extract, summarize, and validate web content from specified URLs via the MCP protocol.
Acts as a desktop client for interacting with a Model Context Provider (MCP) server.
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