"Testing Kubernetes Network Policies" matching MCP servers:

Enables Claude Code to read and write issues on the Testing Platform via natural language, including listing projects, filtering issues, creating and updating issues, and adding comments.

Enables AI agents to interact with the Coherence Network platform, allowing them to browse ideas, record contributions, and access governance features via natural language.

Enables scheduling and todo management via MCP, allowing users to add reminders, view tasks, and mark completion through natural language.

Professional Model Context Protocol implementation for Quality Assurance, integrating best practices of testing, reporting, and defect management.

A campaign and task management MCP server for AI coding assistants, enabling dependency tracking, acceptance criteria, testing strategies, and progress monitoring for projects.

Provides an AI-driven four-stage software development workflow with role management, enabling structured requirements analysis, design, implementation, and testing.

Enables agents to query and manage project tasks across multiple backends such as Jira, Asana, Monday, ClickUp, Smartsheet, Microsoft Project, and Trello through unified MCP tools, with a built-in mock mode for testing.

A comprehensive server that integrates mobile testing frameworks with JIRA, generating BDD test scenarios and framework-compatible test scripts automatically.

MCP server for Microsoft Planner Premium offering read-only access to Planner data through a secure browser automation worker, with fail-closed configuration and mock mode for safe testing.

Enables managing employee information, tasks (todos), and company policies via MCP tools and resources.

Enables multi-user, network-reachable MCP interaction with Redmine, with per-user impersonation and identity-based access control.

Provides Azure DevOps integration through MCP, enabling management of projects, work items, teams, and policies via natural language. Supports bulk work item creation with hierarchical relationships and iteration assignments.

Enables AI assistants to interact with a self-hosted Jira clone for testing, supporting project and issue management, comments, and search via MCP tools.

An MCP server exposing internal business operations as tools — task management (create, list, update status) and RAG-style semantic search over an internal knowledge base (leave, expense, and onboarding policies) that any MCP-compatible AI agent can call directly for grounded, non-hallucinated answers.

Read visual bug reports from Feedbug in your AI coding agent: screenshot, console logs, failed network requests, session replay and the DOM context of the element the tester clicked. Trace the bug to its source file, comment and resolve without leaving the editor.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

A local MCP server for managing a personal kanban board with SQLite, enabling task creation, editing, and movement across backlog, in progress, testing, and done columns.

Enables Claude to interact with LifeUp Cloud API on your local network for task management, achievements, and user information. Supports 20 tools including creating, editing, and querying tasks, achievements, and shop items.

rhizome-mcp is a local-first MCP server for task tracking and coordination of autonomous AI coding agents, providing crash-safe issue claiming, durable project memory, and dependency graphs using SQLite. It enables agents from different MCP-compatible clients to share a consistent view of project work with no accounts, Docker, or network dependency.

Orchestrates complete agile development workflows from product requirements to QA testing through role-based stages (PO → Architect → SM → Dev → Review → QA). Manages workflow state, generates role-specific prompts, and saves artifacts while integrating with multiple AI engines for comprehensive project delivery.