# Task management

The GitHub Kanban MCP Server is an MCP server that converts GitHub issues into a kanban - style management system, specifically designed for LLM task management optimization.

An MCP server project for office automation, with functions including schedule management, weather query, email reminder, and task tracking.

An MCP server tool for software development planning and task management

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

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.

A task management API based on TypeScript and WebSocket, supporting modular command execution and AI agent integration, using the SQLite database.

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

An MCP server that provides JIRA interaction functions, supporting operations such as querying sprint tasks, getting ticket details, and adding comments

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.

GooseTeam is an AI agent collaboration platform that enables task allocation and message management among agents through the MCP protocol. It supports both natural language and flowchart protocol expressions and provides an extended toolset.

An MCP server project that implements Phabricator API interaction, providing functions such as task management, project information, and user details.

Teamwork MCP is a server that connects to the Teamwork API, providing a simplified interface to manage Teamwork projects and tasks.

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.

This is a Python version of the Todoist MCP server, ported from the TypeScript version, providing the same functions through the Python MCP SDK and the Todoist Python API.

MCP Kanban is a task management toolset designed for AI agents. It manages multi-session workflows through a kanban system, supports column capacity limits, an embedded database, and Web UI monitoring. It provides API interfaces for creating, moving, and deleting tasks, as well as preset prompt words to assist in project initiation and advancement.

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.

Godspeed MCP is a model context protocol tool for connecting to the Godspeed task management API, supporting comprehensive management of tasks and lists.

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

A service for interacting with Microsoft To Do tasks via an AI assistant

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

The Trello MCP Server is a server based on the Model Context Protocol, providing tools for interacting with the Trello API, including a complete Trello function interface, modular architecture, and type - safety support.

A to-do item server based on FastMCP for the Swarmonomicon project. It receives requests through FastMCP and stores tasks in MongoDB for processing by Swarmonomicon workers.

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.

A local task management server based on SQLite, following the MCP protocol, providing project-based task management tools that support operations such as creating projects, adding tasks, updating statuses, and expanding subtasks.

A server based on the Model Context Protocol for managing GitLab kanban task operations, providing functions such as task list query, creation, update, deletion, and commenting.

The enhanced version of the Todoist MCP server is a service that implements the Model Context Protocol (MCP), integrating Claude with Todoist and supporting the management of tasks, projects, sections, and labels using natural language.

An intelligent task management system based on the MCP protocol, providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, execution, and memory.

MCP Assistant Server is an intelligent task analysis and tool recommendation server that integrates large language models, provides functions such as task analysis, tool recommendation, and context management, and supports use in development environments such as Cline and Cursor.

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.