# Time Tracking

The Toggl MCP Server is a protocol server that allows AI assistants to manage Toggl time tracking data through natural language.

A central repository containing multiple implementations of the Model Context Protocol (MCP) servers, supporting seamless integration with different services.

The ClickUp MCP Server is a model context protocol server for integrating ClickUp tasks with AI applications. It supports managing tasks, spaces, lists, folders, etc. through a standardized protocol and provides functions such as time tracking and tag management.

The ActivityWatch MCP Server is a middleware that connects to the time - tracking tool ActivityWatch, allowing LLM models like Claude to access users' time - tracking data through a standard protocol.

An unofficial Reclaim.ai MCP server that allows MCP-compatible clients to interact with the Reclaim API through standard resources and tools, supporting 14 operations such as task management and timing.

The ClickUp MCP Server is a model context protocol server for integrating ClickUp tasks with AI applications, supporting task, space, list, and folder management through a standardized protocol.

This project adds custom memory paths and timestamp functions to the MCP team's Memory server, supporting the construction of a knowledge graph through LLM to manage interaction memory.

The Memory Custom project adds custom memory paths and timestamp functions to the Memory server of the MCP team, optimizing the management of knowledge graphs and interaction tracking.

An MCP server that implements Harvest time entry recording through natural language processing, supporting intelligent parsing and automatic handling of leave requests