"Task" matching MCP servers:

Enables AI assistants to delegate specific tasks to specialized sub-agents (e.g., test-writer, code-reviewer). Supports both Cursor and Claude Code with custom agent definitions.

A cross-AI-agent local task context sharing MCP server that allows clients like Codex, Claude Code, Hermes, and VS Code to read and write the same task state, enabling task tracking and context distillation.

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

Enables AI clients to create and manage tasks via a local REST API by converting natural language into HTTP requests through the Model Context Protocol.

A simple MCP server demonstrating resources, tools, and prompts using a local task list. It enables reading, creating, and analyzing tasks through MCP.

A simple MCP server for managing tasks via a local JSON file, demonstrating resources, tools, and prompts for task reading, creation, and analysis.

Enables AI agents to autonomously manage and improve execution processes for repetitive task types by storing reusable task contexts with associated artifacts (practices, rules, prompts, learnings) and providing full-text search across historical best practices.

A task-board MCP server that provides tools to search, create, and update tasks, resources for reading the board, and prompts for standup and triage workflows.

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

Enables local task management through the Model Context Protocol with tools for creating, updating, and deleting tasks. It also provides read-only resources for viewing task summaries and full task lists.

A small Model Context Protocol (MCP) server that lets an AI assistant manage a to-do list on your behalf.

A task manager MCP server that enables creating, reading, updating, and deleting tasks persisted in a local JSON file.

Enables AI applications to manage tasks on a real Trello board by exposing four MCP tools for adding, listing, completing, and deleting tasks.

MCP server for Taskwarrior 3.x — 35 tools for task lifecycle, time tracking, schema validation, and role-based permissions.

Enables AI coding agents to read Microsoft Planner and To Do tasks across multiple M365 tenants with proper authentication, and supports optional write operations limited to tasks the agent created.

A local MCP server for managing a personal kanban board with SQLite, enabling task creation, editing, and movement across backlog, in progress, testing, and done columns.

Provides AI agents with a lightweight task-management and self-verification layer to define goals, track checkpoints, detect scope drift, and verify completion against explicit done criteria.

Local-first task management with CLI, TUI, and REST API. MCP server enables Claude to manage tasks, track time, optimize schedules, and handle dependencies.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Enables AI agents to manage hierarchical tasks and stories stored as Markdown files, providing tools for creating, listing, editing, and updating task status through the Model Context Protocol.