MCPs tagged with # productivity

TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.

• ⭐ 6
• MCP
• ekkyarmandi/ticktick-mcp

notion-mcp provides a Model Context Protocol (MCP) server that connects with Notion's API to help users manage their personal to-do lists. It enables querying, adding, and updating tasks directly from Notion through a standardized MCP interface, and is designed for integration with tools like Claude Desktop. The project is set up for easy deployment via Smithery and supports OAuth credentials and per-user configuration.

• ⭐ 27
• MCP
• Badhansen/notion-mcp

Implements the Model Context Protocol (MCP) to provide a Node.js server interface for TaskWarrior operations. Allows viewing, filtering, adding, and completing tasks through a standardized API. Integrates with task management workflows by utilizing the local TaskWarrior client, supporting advanced task attributes like projects and tags. Enables seamless task manipulation for external tools such as Claude Desktop.

• ⭐ 36
• MCP
• awwaiid/mcp-server-taskwarrior

Context Apps MCP is an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer applications through the Model Context Protocol, enabling smart, context-driven workflows with apps like Claude Desktop and other MCP-compatible clients. It allows users to manage tasks, develop ideas, analyze journals, and optimize productivity using AI, all accessible and integrated via MCP-compliant endpoints. The suite ensures secure authentication via Apple ID OAuth, provides end-to-end encrypted communication, and offers users complete control over their data.

• ⭐ 5
• MCP
• tubasasakunn/context-apps-mcp

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

• ⭐ 283
• MCP
• cyberchitta/llm-context.py