task-management
31 servers · 1,229★ total
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
Model Context Protocol server for Vikunja task management. Enables AI assistants to interact with Vikunja instances via MCP.
ClickUp MCP Server - Integrate ClickUp project management with AI through Model Context Protocol
Huly MCP and CLI: Feature-complete MCP server and CLI for Huly platform
DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.
Fast native Swift OmniFocus MCP server and CLI for macOS. Let AI assistants safely read, update, complete, and organize tasks and projects through documented Omni Automation APIs.
Model Context Provider for Amazing Marvin productivity app - Access your tasks, projects, and categories in AI assistants
macOS Calendar & Reminders MCP server (29 tools) — native Swift EventKit for Claude Desktop & Code. Events + reminders CRUD, recurring, batch ops, conflict & duplicate detection, per-event timezone, undo/redo, #tags, --cli mode, SwiftUI --setup TCC flow, --self-update. Developer-ID signed + notarized for macOS 26. iCloud/Google/Exchange.
Open-source multi-agent task board for OpenClaw. Kanban + DAG dependencies + MCP server + auto-retry + audit trail. Built for autonomous AI agent teams.
Standalone MCP server for Obsidian vaults — hybrid search, notes & files, memory, tasks, OAuth 2.1.
AI agent engine with 22 chat channels, 65 tools, and 15 skills. Self-hosted, local-first, works with any LLM provider.
Pipeline-driven task management for AI coding agents — stages, dependencies, artifacts, and multi-agent collaboration
🔗 Model Context Protocol server for todo.txt files - Connect your todo.txt to AI assistants like Claude Desktop
驱动的项目管理 MCP 服务器，50 个工具覆盖任务管理、Spec 驱动开发、多 Agent 协作、自动驾驶引擎｜AI-powered project management MCP server — 50 tools for Claude Code / Cursor / Windsurf / Codex. Task tracking, spec-driven devAI elopment, multi-agent orchestration, complexity scoring, autopilot engine, quality gates. |
AI-native task management for humans & agents. MCP-first, CLI-native, self-hosted. Bring your own model.
BACH v3.12.4-earth: local-first text-based OS for LLM agents with SQLite memory, 113+ handlers, 550+ tools, MCP servers, scheduler and multi-agent orchestration
An MCP server that exposes OmniFocus to AI agents via the Model Context Protocol (MCP).
MCP server for OmniFocus integration - enables Claude and other MCP clients to interact with OmniFocus projects
AI-powered Jira CLI and MCP server for humans and agents manage issues, sprints, boards with interactive wizards, multi-provider AI (OpenAI/Gemini/Anthropic), and an 14-tool MCP server for AI assistants
Your AI on rails, on your terms — an open-source Claude Code plugin that enforces every process as it happens, so your AI can't fake the work. Free, on the subscriptions you already pay for.
Turn Claude into your AI task manager. Create, manage & complete TickTick tasks just by talking — official OAuth API, local, private.
A simple Model Context Protocol server for basic Codecks task management
An MCP server that gives Claude conversations a persistent, interactive plan/to-do panel.
MCP-powered task manager that lets Claude AI prioritize your work. Desktop app with Microsoft To Do-style UI, intelligent prioritization strategies (Eisenhower, quick wins, high impact), goal tracking, and concurrent SQLite access.