"Testing Library" 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.

Read, analyze, create, and edit ProjectLibre project files (.pod/.xml) from Claude using the MPXJ library.

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

Enables AI assistants to connect to AutoRFP.ai and query RFP projects, requirements, tags, and approved content library with read-only access.

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.

Enables AI agents to access Planning Center Online data including worship plans, song library, teams, and volunteer information through natural language queries and direct tools.

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

Integrates Jira with Cursor IDE for AI-powered issue management, sprint tracking, library vulnerability analysis, and MySQL database queries through natural language.

Read-only MCP server that allows interaction with a Jama Connect instance via tools, wrapping the official py-jama-rest-client library.

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

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

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.

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.

Enables AI assistants to interact with Alibaba Cloud Yunxiao DevOps platform for managing projects, code repositories, work items, pipelines, deployments, and testing workflows through comprehensive organization, development, and delivery tools.

Habitica MCP server built with Effect v4, currently exposing a hello-world tool, resource, and prompt over stdio for early development and testing.

Enforces client-mandated development workflows with audit trails, state persistence, and compliance reporting. Provides tools for issue tracking, testing, deployment, and verification to ensure non-negotiable compliance.

MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.

MCP server for agent-first Kanban board management, enabling agents to create, move, comment, and claim pebbles (cards) across statuses like requested, code_creation, testing, validation, and complete, with support for blocking, context feedback, and HIL (human-in-the-loop) transitions.