"Villager 0.2.1rc1 Framework MCP Auto Penetration Testing" 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.

Local MCP server for AI agents that enables Jira issue management, Confluence Wiki page creation and editing, Git commit analysis, and diagram generation.

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.

Enables Claude Code to manage Strety todos and people via read/write tools with OAuth token auto-refresh.

Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.

Auto-generates and manages test cases for any project from feature descriptions, with tools for adding, listing, updating, and exporting test cases via Claude.

Socratic AI that turns vague problems into structured intent specs — objective, outcomes, edge cases, constraints. Zero-config locally, or team mode for evidence, dependency graphs, and governance. Ships 7 auto-triggering Claude Code skills. Build the right thing.

Connects AI agents to the Rippling HR/IT/Finance platform to query employees, manage leave requests, and view organizational structures. It provides eighteen tools for accessing company data, employee details, and administrative activities through the Rippling API.

Enables AI assistants to interact with Xray Test Management for both Cloud and Server deployments. Supports test execution, importing results from multiple formats (JUnit, Cucumber, Robot Framework, TestNG), and managing test plans and executions.

Enables AI assistants to interact with Azure DevOps, providing tools for managing work items, repositories, pipelines, and more through the Model Context Protocol.

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.

An opinionated brownfield planning workflow (PT-BR) with agents, slash-commands, and framework, shipped as an MCP server that syncs the kit into multiple IDE native layouts like Claude Code, Cursor, Codex, and others.

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.

MCP server for the GSD (Get Shit Done) lifecycle framework. Exposes GSD project state, phases, milestones, and commands as MCP tools and resources.

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

Integrates with the addTaskManager iOS/macOS app to manage tasks, projects, and ideas through the ADD (Assess-Decide-Do) framework. Enforces realm-based restrictions where users can create/edit content in Assess, assign contexts/dates in Decide, and mark items complete in Do.

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

GPTaria MCP connects your AI assistant to GPTaria, enabling you to post project briefs, respond with working prototypes, and publish portfolio cases directly from your editor.

A stdio MCP server that lets an AI assistant read and manage a self-hosted Donetick instance, including chores, recurrence, assignment, completions, activity history, circle members, and projects.