Discover our curated collection of MCP servers for productivity & workflow. Browse 5101servers and find the perfect MCPs for your needs.
Enables developers to interact with AI systems through speech across multiple channels, functioning as both a command-line tool and a Python library.
Enables AI agents to send real-time notifications to devices via ntfy, supporting both public and self-hosted instances with token authentication.
Connect AI assistants like Claude to Atlassian Jira for accessing and managing projects and issues.
Enables AI assistants to manage files, downloads, and system operations on Synology NAS devices through secure API integration.
Connects custom tools to agentic LLMs, providing a single access point for multiple MCP-compatible environments.
Access Google Flights data programmatically and via a command-line interface to search for flights and find deals.
Translates PowerPoint presentations using Amazon Bedrock models, preserving original formatting and structure.
Enhances TickTick workflows by providing an MCP server with improved filtering capabilities for AI assistants and other MCP-compatible applications.
Enables creation and management of tasks and projects within the Things3 macOS application using the Model Context Protocol (MCP).
Generates summaries of YouTube videos via the Model Context Protocol.
Enables AI agents to request human reviews via gotoHuman through an asynchronous, webhook-based workflow.
Integrates Overleaf projects with Model Context Protocol (MCP) clients, enabling access to LaTeX files, document structure analysis, and content extraction.
Provides a unified reasoning tool offering a wide range of operations for systematic thinking and problem-solving across diverse challenges.
Automates code merging and application of edits using the Osmosis-Apply-1.7B model within an MCP server environment.
Enables control and monitoring of Home Assistant devices through MCP-enabled applications.
Integrates with Zendesk to manage tickets, comments, and access the Help Center knowledge base.
Empowers any LLM-powered chatbot client to generate professional-quality images through the standardized Model Context Protocol (MCP).
Facilitates interaction with the Inkdrop note-taking application's local data via the Model Context Protocol.
Automates the creation of PowerPoint presentations through an MCP server interface.
Enables AI models to access and manipulate note data within the SiYuan Note system.
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