"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 comprehensive task management MCP server built with FastMCP, featuring full CRUD operations, intelligent filtering, and productivity-focused prompts.

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 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.

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.

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 AI assistants to manage tasks with tools for adding, completing, and deleting tasks, and resources for viewing all or pending tasks.

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.

Enables MCP clients to submit tasks to a local file-backed queue and later read or cancel them by ID, with results produced by a separately run worker.

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.