Productivity & Workflow MCP Servers

Discover our curated collection of MCP servers for productivity & workflow. Browse 3191servers and find the perfect MCPs for your needs.

Enables Large Language Models to execute complex, multi-step workflows by integrating cognitive actions and external tools.

Enables programmatic management of Jupyter notebooks, allowing interaction and manipulation of notebook content via code.

Connect AI assistants to an ERPNext instance via the Model Context Protocol (MCP) using the official Frappe API.

Manages contracts and templates through the eSignatures platform, allowing for creation, retrieval, modification, and collaboration.

Enables Claude to access and manage Microsoft Outlook calendars on Windows systems.

Delegate tasks to other LLMs by calling another MCP client from your MCP client.

Connects ActivityWatch time tracking data to Large Language Models via the Model Context Protocol (MCP).

Enables Large Language Models to interact with JIRA through standardized tools and context.

Enables AI-powered interactions with Apple Books data, providing summaries, organization, and recommendations.

Integrates with Zendesk to manage tickets, comments, and access the Help Center knowledge base.

Record and manage notes with AI models using a simple note-taking server.

Enables AI assistants to manage files, downloads, and system operations on Synology NAS devices through secure API integration.

Offers VOICEVOX text-to-speech functionality through the Model Context Protocol.

Connects any Model Context Protocol (MCP) host with various tools through a secure, no-code integration hub.

Enables dynamic registration and execution of custom functions in various programming languages, exposing them via a Model Context Protocol server.

Expose TaskWarrior operations through the Model Context Protocol (MCP).

Enables AI coding agents to interact with Unity projects.

Exposes CalDAV calendar operations as tools for AI assistants via the Model Context Protocol.

Plans and orchestrates AI-driven software development by integrating with IDEs through the Model Context Protocol.

Provides video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade media operations.

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