"An overview of penetration testing (pentest)" 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.

Runs 20 slash-command workflows across Google Calendar, Gmail, Linear, Slack, Granola, Google Docs, GitHub, Stripe, Notion, Google Forms, Sheets and Drive to produce morning briefs, meeting prep, action items assigned to owners and weekly updates. Reads proceed without asking, while anything that creates, sends, changes or deletes is shown for approval first.

An MCP server for managing tickets and meetings with CRUD operations, backed by PostgreSQL, and includes a REST API and React frontend.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.

Enables AI-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

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

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

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 interaction with Productive.io for task management, time tracking, budget monitoring, and project overview through natural language.

An MCP server that provides the complete operations brain of an industrial-services company, enabling agents to manage quoting, booking, invoicing, safety, and finances end-to-end.

Provides programmatic access to all Scoring Engine API functionality for managing Red/White/Blue team cybersecurity competitions, including scoreboard, overview, team management, service management, injects, notifications, and admin tools.

An MCP server that allows management of Jira Insights (JSM) asset schemas, enabling CRUD operations for object schemas, object types, and objects through the Model Context Protocol.

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

An MCP server for interacting with the Cutover API, enabling management of cutover events and related operations through natural language.

An MCP server for interacting with the Backlog API, enabling AI agents to manage projects, issues, wikis, and more, with support for restricting access to a subset of Backlog projects.

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.

An MCP server that connects Claude to Trello, enabling comprehensive management of boards, lists, and cards through natural language conversation. It supports a wide range of actions including searching cards, adding comments, managing checklists, and tracking board activity.

Read-only MCP server for Clockify time tracking, exposing 60 raw read tools and five workflows for status, workspace overview, and review of days/weeks.

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.

An MCP server that enables deterministic supplier quality engineer review of PPAP cases through structured state management, tools, and an interactive workbench UI within Langdock, with human approval authority.

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 server that exposes Jira Cloud operations as MCP tools, enabling programmatic management of Epics, Stories, Tasks, and Sprints directly from an AI chat or agentic workflow.

An MCP server that provides a shared graph of an organization's projects, processes, areas, and principles, enabling consistent context for tools and AI agents.

Enables MCP clients to hand over a household's routine safely: it detects calendar clashes, asks one clarifying question, proposes a revision, and transfers ownership only after explicit, idempotent confirmation, with stale proposals re-planned and every change explained from an auditable log. Read-only overview, changelog and handoff resources support subscriptions so multiple client sessions stay in sync.

A read-only MCP server that provides AI agents structured access to Jira Cloud, enabling project listing, sprint overview, issue retrieval, and JQL search.

An MCP server for ConnectWise Manage PSA, enabling management of tickets, projects, contacts, billing, and service operations through ConnectWise Manage's API.

Enables Claude agents to report their working, waiting, done and error status, ask questions you answer in the office, hand work off to colleagues, and get an overview or end-of-day summary of who is doing what per project.

Enables AI agents to act as formal project members with their own accounts, roles, inboxes, and workflow-constrained tools so they can collaborate with humans across requirements, development, review, testing, and release.