"Understanding File Systems" matching MCP servers:

Enables work item management in DevOps Plan systems, allowing users to create, retrieve, filter, and delete work items, as well as manage applications, projects, components, and work item types through natural language.

Enables direct integration with Zentao bug tracking systems through Cursor. Supports authentication, bug retrieval, searching, and listing operations for comprehensive bug management through natural language.

Provides a Model Context Protocol interface to MoCo time tracking and project management systems, enabling AI assistants to retrieve work activities, projects, tasks, holidays, and presence data.

Enables AI assistants like Claude to interact with Lychee Redmine project management systems through API integration, allowing natural language access to project data and operations.

An AI-native Taskwarrior bridge that provides natural language task management for Claude Code and other AI systems, integrating with existing Taskwarrior infrastructure.

A Model Context Protocol server that enables Claude Code to directly interact with Redmine project management systems, supporting issue management, project operations, and search features.

A Model Context Protocol server that enables AI assistants to interact with Feishu project management systems, allowing retrieval of project views and work items.

Enables AI assistants to interact with Redmine project management systems, providing comprehensive access to issues, projects, time tracking, users, and wiki pages through natural language commands.

A protocol bridge that connects AI systems to Taiga project management platform, enabling AI tools to create and manage projects, epics, user stories, tasks, issues, and sprints.

Forgespec MCP facilitates Spec-Driven Development (SDD) by providing tools for contract validation, task board management, and advisory file locking. It enables multi-agent AI systems to coordinate complex workflows through a structured nine-phase development pipeline with built-in dependency tracking.

Enables natural language interaction with Taiga project management systems, allowing management of projects, sprints, user stories, tasks, and issues through conversational AI.

Enables AI-powered interaction with ZenTao 11.3 legacy systems, supporting task, bug, requirement, and test case management via MCP protocol.

An MCP server that enables interaction with Jira to fetch issues by key and perform JQL searches. It provides a foundation for integrating multiple work systems, with planned support for Slack and GitHub.

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

Implements a Model Context Protocol server for intelligent end-to-end requirement management and development automation, integrating with Feishu project systems.

Gives Claude, Cursor, VS Code and other MCP clients safe, structured access to an OpenSolar organisation's projects, contacts, systems, files, commercial settings and Teams sharing via the documented OpenSolar API. Runs self-hosted with your own bearer token, offering curated tools for searching, summarising, comparing, updating and sharing solar project data.

Enables agents to read and report, and to carry human-authored updates into systems of record after human consent, while structurally preventing autonomous writes of commitments like owners, due dates, or statuses.

Enables AI applications to interact with Redmine project management systems for issue tracking, time logging, and project management through natural language.

Enables AI assistants to interact with Redmine project management systems through MCP tools, providing access to issues, projects, time tracking, wiki, and more.

Coordinates multiple AI systems and human reviewers using Git as an inspectable record, providing tools for task management, evidence tracking, and independent review.