MCP server that exposes project status tools (plan, milestones, RAID items, blockers) allowing AI assistants to retrieve and analyze project information via natural language.
Enables comprehensive management of OpenProject work packages, projects, comments, and relations through natural language. Supports creating, updating, and organizing tasks with assignees, watchers, hierarchies, and inter-task relationships.
Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications
A Model Context Protocol (MCP) server for Hubstaff API integration, enabling seamless time tracking, project management, and team collaboration through AI assistants.
Enables issue search, creation, updates, comments, status transitions, and project listing in Jira, purpose-built for security incident management and SOC workflows.
MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.
Enables interaction with Fider customer feedback platforms, supporting post management, commenting, tagging, and status updates through natural language commands.
An MCP server that enables LLM clients to manage tasks, timers, and notes in Rhizm through natural language commands. It provides tools for task operations, time tracking, and note management via API integration.
Enables fetching and viewing Jira issue details directly through Claude Desktop using secure API token authentication. Provides comprehensive issue information including status, assignee, priority, and descriptions in both human-readable and structured formats.
Enables users to manage Kanban-style tasks with priorities, tags, and statuses (todo, in progress, done) through natural language. Provides task analytics including lead time, cycle time, and status distribution with MongoDB storage.
A control plane for AI agents and human supervisors. Persistent task registry with scoped permissions, inter-agent delegation, and full provenance — all accessible via MCP. Deploy on Supabase free tier in 3 commands.
A Simple Model Context Protocol server that enables AI assistants to interact with Jira, allowing operations like fetching tickets, adding comments, and updating ticket status.
Enables time tracking and management in Clockify through natural language commands. Supports creating time entries, managing projects, clients, and tags.
Enables interaction with Yandex Tracker through its API for managing tasks, comments, and attachments. It supports issue searching, status transitions, and metadata retrieval for automated project management.
Read-only MCP server for Clockify time tracking, exposing 60 raw read tools and five workflows for status, workspace overview, and review of days/weeks.