"AI-Based Task Management System" matching MCP servers:

A sophisticated task orchestration system with role-based workflow management and Trello integration.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

Helps founders and teams review business workflows, identify AI opportunities, assess trust/control risks, and recommend a safe first AI-human workflow.

Enables AI assistants to manage tasks through a comprehensive interface with 8 tools for creating, updating, searching, and tracking tasks with priorities, categories, and due dates. Features persistent file-based storage, advanced filtering, and task statistics for complete task management workflow.

Elevate your LLM task management with Task Orchestrator, an MCP server that empowers you to define, organize, and track goals and tasks with hierarchical precision. Integrate intelligent task management into your workflow.

A Model Context Protocol implementation that provides a standardized interface for task management, supporting both STDIO mode for CLI/AI applications and HTTP+SSE mode for browser-based clients.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

A local task management MCP server that enables users to create, update, and manage tasks through natural language conversations with Claude. It provides nine tools for comprehensive task management including creation, filtering, searching, and daily planning without requiring a separate UI or backend service.

A Flask-based web application that provides a simple task management system with basic CRUD operations for managing tasks through a responsive Bootstrap interface.

Enables AI-native task and project management through natural language conversation with Claude, eliminating app-switching by letting you add actions, manage projects across multiple areas of focus, and maintain a GTD-style execution system directly in chat.

Provides AI-powered educational tools for teachers including lesson planning, quiz creation, student progress analysis, learning path recommendations, and rubric generation. Enables educators to automate administrative tasks and personalize learning experiences through natural language interactions.

MCP server for Fizzy kanban task management with tools for boards, cards, comments, and checklists.

Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.

Connects AI assistants to your n8n instance to manage workflows, executions, credentials, and user settings through 31 specialized tools. It enables users to perform n8n operations like workflow creation, activation, and execution history retrieval via natural language.

An MCP server that enables AI assistants to interact with the Taskwarrior command-line task management tool. It allows users to list, create, modify, and organize tasks using projects, tags, and annotations through natural language.

Enables interaction with the Upvote.club Public API for task management, including creating, deleting, and checking task status, as well as listing platforms and API reference.

Read chats, search messages and check members on your own Telegram account over MTProto. Any change is a typed plan a person applies from the terminal; no tool sends by itself.

MCP server for XXL-JOB Admin that enables AI assistants to manage scheduled jobs through natural language, including task lifecycle management, manual triggering, cron preview, and execution log retrieval.

Lets AI apps read and edit Google Docs in plain language, including reading as text or Markdown, making precise range-based edits, styling, working with comments, and exporting to PDF, DOCX, and other formats.

MCP server and HTTP proxy for O!task API that enables managing tasks (get, update) through natural language.