Discover our curated collection of MCP servers for productivity & workflow. Browse 4354servers and find the perfect MCPs for your needs.
Provides a Model Context Protocol (MCP) server for remote interaction with the Homey smart home platform.
Enables Claude to maintain context and knowledge across chat sessions by managing project-specific memories.
Provides developers with continuous, project-centric context awareness by learning from development patterns to deliver highly relevant code understanding.
Integrates SAP Business One with Microsoft Copilot Studio via the Model Context Protocol (MCP) to enable conversational AI interactions.
Provides a comprehensive server for developing BASIC and Assembly Language programs for the Commodore 64.
Enables efficient read-only access to Notion content for AI assistants by reducing the number of exposed API tools.
Enables direct interaction between AI models and Redmine project management systems via the Model Context Protocol.
Pauses execution for a specified duration, providing progress reporting during the wait.
Connect AI assistants and IDEs to the Mezmo observability platform for streamlined log analysis, pipeline management, and root-cause analysis.
Integrates AI assistants with Apifox API definitions to automate the real-time generation of TypeScript types, interfaces, and calling functions.
Provides contextual information about food products to AI-powered development tools using the official Model Context Protocol (MCP) specification.
Enables Claude to comprehensively manage and enhance Scrivener writing projects, including file operations, metadata, content analysis, and advanced editing.
Enables programmatic browsing and interaction with OneNote web app notebooks via browser automation.
Provides a comprehensive Model Context Protocol (MCP) server for Home Assistant, enabling full smart home management and automation through extensive API coverage.
Integrates with the MOCO API to provide employee read access for time tracking, project management, holiday, and presence monitoring via a Model Context Protocol (MCP) server.
Enables managing todo.txt files through natural language using AI assistants like Claude Desktop.
Converts website feedback and bug reports into actionable, context-enriched developer tasks for AI coding tools.
Integrates with Phabricator and Phorge APIs to enable advanced automation and interaction capabilities.
Automate YApi interface management by enabling large language models (LLMs) to interact with your YApi platform through natural language.
Generates dynamic, structured UI templates from natural language requests using Large Language Models and an MCP server.
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