# Task management

An MCP server that integrates Claude with Todoist, supporting task management through natural language, including functions such as creating, querying, updating, completing, and deleting tasks.

OmniFocus MCP Enhanced is an AI-driven productivity tool that provides native custom view access, hierarchical task management, intelligent filtering, etc., and deeply integrates Claude AI to achieve intelligent workflows.

A service that interacts with Microsoft To Do tasks through an AI assistant, requiring a Node.js environment and Azure application registration for authentication configuration.

A simple to-do application that supports adding, completing, and deleting tasks.

MCP Server Trello is a server that provides tools for interacting with Trello boards, supporting automatic handling of API limits, type safety, and error handling.

A task management service based on Spring Boot that uses an SQLite database and JPA to implement CRUD operations and provides a RESTful API interface.

The MCP project contains multiple microservices for task management and weather data acquisition

A proof - of - concept project for an MCP server that interacts with Todoist, using OAuth authorization and deployed on Cloudflare

An MCP service that integrates Linear task management and TrackingTime time tracking, automating the workflow through natural language.

A software development planning tool based on the Model Context Protocol (MCP), which provides functions for task breakdown, progress tracking, and development plan management to help teams efficiently plan software development projects.

A simple MCP server for setting Vikunja reminders. Environment variables need to be configured through the.env file

Enhanced ClickUp MCP service, supporting task relationship management and checklist functions

An MCP service project that connects LLM with Todoist, supporting the management of Todoist tasks through the Claude desktop application.

An MCP server based on the CrewAI framework, providing AI agent and task management functions, supporting the creation of agents, tasks, and workflows, and running automatically.

Python - based Todoist MCP server that provides project management functions

This is a server - side project that implements the Model Context Protocol (MCP). It supports AI assistants to interact with external services and data sources, is compatible with AI assistants such as Claude, and provides task creation, debugging tools, and development guides.

Task management tool based on the MCP protocol

The Kanboard MCP Server is a model context protocol server developed in Go that enables seamless integration between AI assistants and the Kanboard project management system. It supports managing projects, tasks, users, and workflows through natural language commands.

A full-stack Todo application based on React, TypeScript, and Supabase, including user authentication, task management, and real-time update functions.

A simple to-do application service based on the MCP protocol, providing task management functionality and supporting MCP protocol testing and demonstration.

This is an MCP server designed for the Linear API, allowing LLMs to interact with Linear's issue tracking system through the Model Context Protocol, providing functions such as creating, updating, and searching for issues.

The Freedcamp Task Management MCP service provides tools for creating, updating, listing, and deleting Freedcamp project tasks through two transmission methods: STDIO and HTTP. It supports batch operations and integration with multiple IDEs.

An MCP service that integrates Claude Code with DingTalk robots, supporting multiple message formats and automatic notification functions

The Yandex Tracker MCP Server is a Model Context Protocol service that enables AI assistants to interact with the Yandex Tracker API, supporting queue management, user management, issue operations, and advanced search functions, and providing secure authentication access and performance caching.

The AI Note MCP Server is a service that connects Claude Desktop with the AI Note task management system. It supports creating, updating, and managing tasks through natural language conversations, and provides functions such as task classification, priority setting, and due date management.

This project is a Todoist server application based on the Model Context Protocol, allowing users to interact with Todoist through an LLM (such as Claude) and supporting all Todoist API features.

An MCP server for software development planning and management, providing functions such as goal setting, plan formulation, and task tracking

The A2A MCP Server is a service that bridges the Model Context Protocol (MCP) and the Agent - to - Agent Protocol (A2A), enabling MCP - compatible AI assistants (such as Claude) to seamlessly interact with A2A agents.

TickTick MCP is a Python-based model context protocol server that provides a standardized interface for integrating with the TickTick task management tool, supporting operations such as adding, deleting, modifying, and querying projects and tasks.

The Cross-system Proxy Communication MCP Server enables collaboration and task management among multi-role LLM agents