"Task" matching MCP servers:

Enables LLMs to manage tasks in a local SQLite database, with tools for creating, listing, updating, and deleting tasks.

AgentTask is a governed work platform where human teams and AI agents share one backlog. Hosted remote MCP server (streamable HTTP, OAuth 2.1 or org API keys) with 60+ tools for tasks, subtasks, projects, groups, labels, notes, comments, attachments, search, crews, and agent runs.

A secure MCP server providing controlled access to pixi tasks and commands, eliminating agent bash circumvention. It exposes 11 pixi tools through 4 meta-tools for ~95% context savings.

Enables LLMs to interact with any ERPNext instance through comprehensive CRUD operations, advanced permissions, and a web chat interface.

Provides AI coding agents with a read-only live view of a project's task state, including progress, blockers, and evidence, via zero-token conditional polling and an optional widget for rendering a dashboard card.

MCP server for Nova Agent progress reporting. Enables updating execution sessions and managing steps within tasks.

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 simple task management server that enables users to add, list, complete, and delete tasks through natural language interactions in Claude Desktop.

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 task management server that allows users to add, list, complete, and delete tasks directly within Claude Desktop. It provides a suite of tools for efficient personal task organization using the Model Context Protocol.

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

An autonomous task decomposition and execution agent that plans, executes, verifies, and commits code changes for engineering goals.

Exposes an agent orchestration task queue as an MCP tool interface, allowing agents to submit, list, get, and update tasks with typed validation.

Enables AI agents to decompose high-level goals into structured task plan DAGs with dependencies, acceptance criteria, and quality gates, and to validate or export those plans in multiple formats.

Enables AI clients to manage todo tasks through Tools for adding, listing, completing, and searching, alongside Prompts for daily reviews and task breakdowns. Exposes task lists and statistics as Resources with local JSON file persistence.

Proxies a remote MCP server to add protocol-native background task support, including task management and progress forwarding, while preserving synchronous calls.

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.

Aggregates tasks from multiple sources (Jira, Markdown TODO files, STM CLI) into a unified SQLite database with full-text search, tagging, and incremental sync capabilities.

Enables creating, listing, retrieving, completing, and deleting locally persisted tasks, with filtering by pending, completed, or all status. It also exposes pending tasks as read-only data for clients to inspect.