Productivity & Workflow MCP 服务器

发现我们为 productivity & workflow 精心策划的 MCP 服务器集合。浏览 2134 个服务器，找到满足您需求的完美 MCP。

Enables AI language models to interact with Microsoft OneNote through a standardized interface.

Enables AI assistants to interact with email, process messages, and learn user preferences through an IMAP Model Context Protocol server.

Monitors file system events and provides real-time notifications to MCP clients for file changes.

Provides a local Model Context Protocol server for client-driven project and task management using a SQLite database.

Provides a Model Context Protocol (MCP) server for Nostr, offering Cashu ecash wallet functionalities for agents and AI assistants.

Automates Microsoft Office applications via AI models using a COM interface on Windows.

Enables Claude Desktop to interact with Spotify using the Model Context Protocol.

Converts Google Calendar schedules into customizable LLM prompts for use with language models.

Enables AI agents to control the Intruder security platform.

Connect Claude to your Substack and Medium writings for context-aware assistance.

Provides tools for interacting with the Trello API through a Model Context Protocol (MCP) server.

Automates WhatsApp marketing and messaging workflows, handling both free-form and template-based communication.

Manages Tempo worklogs within Jira through an MCP interface.

Processes transcriptions with natural formatting, contextual repair, and intelligent summarization using Deep Thinking LLMs.

Streamlines the UI/UX design workflow from inspiration gathering to development handoff using AI-powered automation.

Enables interaction with Dropbox via Model Context Protocol (MCP) clients.

Automates the generation of LinkedIn post drafts from YouTube videos by extracting transcripts, summarizing content, and creating engaging posts.

Enables interactive AI generation in Cursor by allowing the AI to request user input during the process.

Enables LLM models to interact with a Memos server through the Model Context Protocol (MCP) interface.

Enables AI agents to interact with Apache DolphinScheduler through a standardized Model Context Protocol (MCP).

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