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⇱ A production-ready Task Management MCP server for AI agents and autonomous workflows | Glama

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A production-ready Task Management MCP server for AI agents and autonomous workflows

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  • Why this server?

    Multi-interface system with hierarchical tasks (projects, task lists, tasks), dependency tracking, tags, search, and rich metadata, fitting the need for production-ready task management for AI agents.

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    Multi-interface task management system that enables AI agents and users to manage hierarchical tasks (projects, task lists, tasks) with dependency tracking, tags, and search through MCP Server, REST API, or React UI.
    Last updated
    23
    MIT

  • Why this server?

    AI-driven task management with autonomous creation, subtasks, priorities, and progress tracking, supporting natural language and full lifecycle management.

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    AI-driven task management application that operates via MCP, enabling autonomous creation, organization, and execution of tasks with support for subtasks, priorities, and progress tracking.
    Last updated
    2
    MIT

  • Why this server?

    Comprehensive MCP server with powerful search, filtering, and organization across multiple file formats, suitable for structured data output and querying.

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    A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.
    Last updated
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    MIT

  • Why this server?

    Uses natural language for task creation, priorities, labels, projects, and due dates with SQLite persistence, ideal for AI agents.

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    A task management MCP server that allows users to create, list, and organize tasks with priorities, labels, and projects using natural language. It provides a persistent SQLite-backed system for tracking due dates and managing task workflows directly within Claude Code.
    Last updated
    10
    2
    MIT

  • Why this server?

    Offers project organization, task tracking, and PRD parsing into actionable items, supporting hierarchical structure and metadata.

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    A Model Context Protocol server providing comprehensive task management capabilities with support for project organization, task tracking, and automatic PRD parsing into actionable items.
    Last updated
    35
    MIT

  • Why this server?

    Intelligent project planning with task tracking, bug reports, full-text search, and SQLite persistence, matching reporting and search needs.

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    An MCP server for intelligent project planning and task management featuring task tracking, bug reporting, and feature specification with SQLite persistence. It includes full-text search capabilities and automatic filesystem synchronization to keep project data organized and accessible.
    Last updated
    MIT

  • Why this server?

    Local server with natural language task management, daily planning, and multiple tools for filtering and searching, fitting autonomous workflows.

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    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.
    Last updated

  • Why this server?

    Production-ready with bulk operations, priorities, and productivity analytics, providing reliable JSON output for AI agents.

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    A production-ready Model Context Protocol server for managing tasks and todos with support for both file-based and database storage backends. It enables users to perform bulk operations, track priorities, and access productivity analytics through a structured management system.
    Last updated
    MIT

  • Why this server?

    Jira-like project tracker with full hierarchy (projects, epics, tasks, subtasks), activity logging, and structured database, excellent for dependency tracking.

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    A Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy and activity logging — so LLMs never lose track. No more scattered markdown files. saga-mcp gives your AI assistant a structured database to track projects, epics, tasks, subtasks, notes, and decisions across sessions.
    Last updated
    31
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    26
    MIT