"A production-ready Task Management MCP server for AI agents and autonomous workflows" matching MCP servers:

Enables coding agents to check whether a GitHub issue is ready to hand off before starting work, predicting the files and tests the fix will touch from the live checkout and holding back under-specified issues with a single clarifying question.

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.

Enables AI coding agents to file and track issues, plan epics with steps, comment as they work, and hand decisions back to the user through a local Markdown- and YAML-backed issue tracker.

Enables task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

Project Management AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

Enables comprehensive task management with groups, custom statuses, and task relationships, designed for AI assistants to manage tasks during conversations.

Connects AI assistants to a task management API for creating, updating, and tracking tasks with iPhone notifications.

Provides persistent project memory, task lists, time tracking, and shared rules and learned preferences so coding agents can recall decisions and conventions across sessions and coordinate multi-step work.

A schema-aware MCP server for Redmine that validates issue writes against workflow graphs and custom field schemas to prevent errors, with tools for issue lifecycle, time tracking, wiki pages, and more.

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 task management system for LLM-based agents that stores all tasks in a single tree, available immediately after the server starts.

A campaign and task management MCP server for AI coding assistants, enabling dependency tracking, acceptance criteria, testing strategies, and progress monitoring for projects.

A Model Context Protocol server for intelligent task management in AI-powered development environments, providing file-based storage, dependency management with cycle detection, and an interactive CLI.

Simplified Trello-style task management via MCP with 11 essential tools for efficient CRUD operations and a real-time web dashboard.

Provides a task passport system for handoff across AI harnesses, enabling users to list, open, create, and checkpoint tasks with stable IDs and verified state.

Provides structured workflows (phases, gates, coordination) for AI agents, enabling complex task execution with quality enforcement and multi-agent coordination via Model Context Protocol.

Enables AI assistants to manage Dida365 (滴答清单) tasks through the Model Context Protocol. It supports full task lifecycle management including creating, updating, and filtering tasks with automatic timezone handling.

MCP server that provides a real-time project management board with cards, sprints, comments, and docs, enabling coding agents to query and edit project state.

Enables Claude to run a personal task manager in natural language: creating, updating, completing, deleting, listing, and searching tasks and projects, checking an overview, and performing weekly reviews. Tasks are stored in the user's own Cloudflare D1 database via a Worker exposed over MCP with OAuth 2.1 and password-protected access.