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。6271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。
Enables Claude to programmatically create, edit, and retrieve data from Google Forms.
Provides detailed character analysis for text, including counting total characters, letters, numbers, and symbols.
Enables interaction with GRID API directly from Claude for Desktop via the Model Context Protocol.
Tracks daily calorie intake and provides accurate BMR/TDEE calculations.
Manages Google Workspace through the GAM command-line interface, exposing its functionalities via the Model Context Protocol for AI integration.
Enables AI agents to create and manage simple, persistent reminders for themselves across sessions, similar to human voice assistant reminders.
Enables AI assistants to manage personal finances by interacting with Firefly III instances through a Model Context Protocol (MCP) server.
Orchestrates AI-driven planning and execution workflows for software development by integrating Google Gemini with Claude Code.
Connects large language models (LLMs) to the Unity Editor, enabling AI-driven control and automation.
Integrates with Canny.io to provide a Model Context Protocol (MCP) server for comprehensive customer feedback management.
Transforms coding agents into voice-enabled companions by providing real-time audio notifications and interactions.
Facilitates building and exploring multi-agent AI workflows with ready-to-use projects for various applications.
Provides a curated collection of cutting-edge, production-ready AI solutions for enterprise productivity, document intelligence, workflow automation, and developer augmentation.
Provides a server for Claude Code to efficiently query all Cangjie programming language documentation directly within the IDE.
Transfers conversation context seamlessly between AI chats and various projects.
Enables large language models to interact with and control Jira through the Jira Command Line Interface.
Integrates the WorldAnvil worldbuilding platform with AI tools to manage articles, maps, timelines, and more.
Predicts optimal k-point distances and grids for SCF DFT calculations using machine learning models trained on Quantum ESPRESSO data.
Provides AI agents with high-performance, self-evolving long-term memory and knowledge management capabilities.
Plan routes, view schedules, and receive station reminders for the Kharkiv Metro system across multiple interfaces.
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