Discover our curated collection of MCP servers for productivity & workflow. Browse 5532servers and find the perfect MCPs for your needs.
Provides AI assistants with comprehensive tools for voice messaging, conversations, and workspace management through the Model Context Protocol.
Perform understanding-based code searches across your codebase, replacing traditional text-based search tools with semantic capabilities.
Leverages native Tesseract (C++) with Node.js to provide high-performance OCR, offering significantly faster text extraction than JavaScript alternatives and seamless integration with ChatGPT Desktop.
Automates the entire documentation lifecycle, from change detection and link validation to quality assessment and synchronization, for software projects.
Search, install, and manage AI agent skills for MCP-compatible clients.
Simplifies the installation and configuration of MCP servers for Cursor, expanding its AI capabilities.
Transforms URLs into scannable QR codes with downloadable image links, accessible via a Model Context Protocol server.
Provides full control over macOS mouse, keyboard, and screen capture functionalities, safely integrating with AI assistants.
Provides a comprehensive Model Context Protocol (MCP) server for Home Assistant, enabling full smart home management and automation through extensive API coverage.
Enables interaction with JIRA instances through a local MCP server, providing a suite of tools for issue management and information retrieval.
Generates highly customizable QR codes from text or URLs using a standardized Model Context Protocol (MCP) server.
Provides an API-first link shortening service specifically designed for AI agents and automated workflows.
Accelerates AI coding assistants by providing persistent, pre-built code indexing for entire codebases.
Locates and evaluates medical facilities in emergency situations using Google Maps integration and sequential thinking.
Enables AI assistants to interact with the Timing application for time tracking and task management.
Facilitates enhanced problem-solving by providing systematic thinking, mental models, and debugging approaches through a Model Context Protocol server.
Generates QR codes for various content types, enabling large language models to create visual representations of data.
Integrates Lokalise's localization platform with AI assistants like Claude, enabling project, key, and translation management through natural chat.
Enables seamless integration between AI agents and the Windows operating system for task automation.
Implements the Model Context Protocol (MCP) to enable communication between MCP clients and the Routine application.
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