"Managing Docker Containers and Applications" matching MCP servers:

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

Enables task management through MCP, including creation, retrieval, update, deletion, and filtering tasks by completion status using a MySQL-backed server.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

Manage Kanboard projects, tasks, columns, swimlanes, comments, and file attachments via natural language. TypeScript implementation with 37 tools, multi-project routing via .kanboard.yaml, Docker multi-arch image, and provenance-signed npm releases.

Integrates BusinessMap (formerly Kanbanize) project management capabilities with MCP-compatible applications, enabling board management, card operations, user management, and search.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.

Provides an interface to access and manage JIRA data through the Model Context Protocol, offering features like relationship tracking, data cleaning, and contextual insights for AI applications.

An MCP server that exposes Threads CLI data for managing hierarchical threads, containers, and progress logs. It enables users to create, organize, and track task history while maintaining compatibility with the Threads CLI storage.

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.

MCP server for job search and application tracking, enabling AI agents to search jobs, get details, manage applications, and find contacts across 128K+ jobs and 1,900+ companies.

Enables managing Taskwarrior tasks and projects through MCP tools.

Connects your Ashby recruiting data to Claude, enabling natural language queries and management of candidates, applications, jobs, interviews, offers, and team information.

A Model Context Protocol server that enables AI applications to interact with Jira issues, projects, and workflows through a standardized interface.

Model Context Protocol (MCP) server for ERPNext - manage timesheets, leave applications, projects, and software releases via Claude, Gemini, or any MCP-compatible AI assistant.