"Information about queue-based systems or concepts" matching MCP servers:

Enables personal productivity management by exposing MCP tools to create, retrieve, list, update, complete, and delete tasks and calendar events, with validation and conflict detection.

MCP server that queues stories and feeds them to live Claude Code sessions, delegating bounded tasks to worker routes in isolated git worktrees.

A Model Context Protocol server that uses Git as a backend for a collaborative todo system, enabling natural language interaction with Claude Desktop/Claude Code. It features a web-based Kanban board and Telegram bot for multi-interface todo management.

Enables Cursor on your laptop to connect to an MCP server on EC2 via SSE/HTTPS to manage a task queue stored in Postgres, supporting task listing, status updates, and work prompt generation.

Enables AI assistants to interact with the TANSS ticket management system through 237 tools covering tickets, phone calls, chats, IT assets, time tracking, remote support, and ERP operations.

MCP server integrating OBSS Timepiece Time in Status for Jira, enabling queries about issue durations, status histories, and aggregated metrics via natural language.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.

A read-only MCP server that bridges AI assistants to SAP Cloud ALM, exposing read APIs through four intent-based tools. It runs locally over stdio or remotely over Streamable HTTP, and can be deployed to SAP BTP Cloud Foundry.

MCP server that bridges AI coding assistants to Vibe Kanban, enabling task, session, and queue management without leaving the coding environment.

Exposes Yandex Tracker's REST API v3 as tools for LLM clients, enabling issue management and queue operations via natural language.

Enables AI agents to interact with issue, comment, document, and agent workflows through a simplified HTTP API, returning compact Markdown or file-based snapshots.

Enables defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

Connects AI assistants to a Request Tracker (RT) instance, enabling natural language ticket search, creation, updates, and queue management via the MCP protocol.

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.

Scans a repository for maintenance toil (flaky tests, expiring certificates, TODO rot, dead flags, etc.) and returns a prioritized queue with a credit ledger to track who cleared what.

An MCP server that connects AI assistants to Notion, enabling automated research, GitHub tracking, and content pipelines with human-in-the-loop approval via a Notion task queue.

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.

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.

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.

This MCP server provides a browser-based board for managing threaded feedback sessions with an agent, enabling users to respond to multiple review findings or questions at their own pace with quick replies and batched submission.

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 coding agents to manage a portable work-queue kernel with phases, tasks, dependencies, parallel worktrees, quality gates, and crash recovery via CLI and MCP.

Enables task management through MCP, including creating, reading, updating, deleting, and completing tasks, with filtering by status, priority, or due date and secure token-based authentication.

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.

Enables AI assistants to interact with Nexus projects, allowing management of projects, bugs, milestones, concepts, and templates through natural language commands.

An MCP server for AI-assisted project development and tracking. It exposes a typed graph of design nodes (concepts, decisions, requirements, etc.) and edges to Claude Code, enabling structured management of project knowledge and report generation.

Stdio-based MCP server exposing Jira tools for searching, creating, getting, commenting on, assigning, and transitioning issues, as well as listing projects, with authentication via token or basic auth.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.