"file system" matching MCP servers:

Enables Claude to interact with System Task projects, teams, and tasks, providing daily briefs, project reports, team load, and risk identification, as well as creating and updating tasks and demands.

Enables interaction with a file-based issue tracking and knowledge management system, allowing users to create, read, update, and move issues, as well as search and read notes within the UniHub Vault.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.

Enables AI agents to create, manage, and search hierarchical plans with phases, tasks, and milestones through a comprehensive planning API. Supports CRUD operations, batch updates, rich context retrieval, and artifact management for structured project planning.

File-based MCP server for AI coding agents to coordinate via inbox messaging and human escalation.

Enables integration with Planfix CRM and task management system, allowing lead management, contact/company management, task creation/search/commenting, and report generation via the Planfix REST API v2.0.

A planning and orchestration system for AI-driven software development that integrates as an MCP server, enabling developers to plan, prioritize, and execute complex projects with context-aware assistance.

Enables AI agents to create, read, and manage tasks and projects in a personal todo system through MCP tools.

Enables interaction with Leiga issue tracking system through MCP, allowing searching, creating, updating issues, and managing projects.

Provides access to Linear's issue tracking system through a standardized Model Context Protocol interface, allowing users to create, update, search, and manage issues, projects, and comments via natural language.

Keeps Jira Cloud, Jira Server, Linear or its own built-in tracker (plus Confluence pages) in one local SQLite file. Its MCP tools answer from that file: read-only SQL, full-text search across issues, comments and wiki pages, issue detail, sprint and retro reads.

Enables LLMs to interact with Linear's issue tracking system, including creating, updating, searching issues, adding comments, and accessing resources via the Linear API.

A multi-agent task management system for AI applications that enables users to create agents with roles and capabilities, delegate tasks with trust-based routing, coordinate file access to prevent conflicts, and monitor performance through a unified dashboard.

A provider-agnostic MCP server that synchronizes work-in-progress between multiple coding sessions to prevent file conflicts.

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.

A sophisticated task orchestration system with role-based workflow management and Trello integration.

Enables users to manage a todo list with add, list, complete, delete, and clear completed operations, persisting todos to a JSON file.

MCP server that enables AI agents to manage tasks, boards, lists, and comments on a Kanban-style project management system through JSON-RPC methods.

Enables intelligent task assignment to developers using hybrid AI algorithms that match tasks based on past experience, skill sets, workload balance, and project alignment. Features enterprise-grade security with AES-256 encryption and 75% performance optimization through smart caching.

A system integrating two independent MCP servers for Google Calendar and Google Tasks APIs, orchestrated by an LLM agent loop with a web dashboard.