"Information on 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.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

MCP server for self-hosted qTest Manager, enabling natural-language management of projects, modules, test cases, requirements, traceability, and test execution via the qTest REST API.

Enables comprehensive Trello integration via MCP, supporting boards, lists, cards, comments, labels, members, checklists, search, and attachments, deployed on Cloudflare Workers.

MCP server for Azure DevOps Server 2022 (on-premises) that enables AI assistants to interact with work items, repositories, builds, and sprints through 29 tools.

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

Enables AI assistants to interact with an on-premise Azure DevOps Server 2022, allowing users to list, view, create, and update work items through natural language.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

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.

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 defect management on the SEPP platform, allowing users to query defects, retrieve user project information, and set up automated monitoring with alerts for new or unresolved defects via webhook or email.

A Model Context Protocol server that integrates JIRA directly into Cursor IDE, allowing users to view assigned issues, get detailed information on specific tickets, and convert JIRA issues into local tasks without leaving their editor.

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

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

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

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

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.

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.

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 assistants such as Claude Desktop to access and manage amoCRM data—including leads, contacts, companies, tasks, pipelines, users, notes, and account information—through stdio or Streamable HTTP transports.

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.

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 Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.

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

Provides Claude with persistent local memory and a structured knowledge graph for tracking project states, task dependencies, and historical context. It enables users to store notes, manage task relationships, and perform time-travel queries to reconstruct past information without relying on cloud services.

An MCP server that exposes the pentest reporting and automation features of SysReptor as programmable tools for AI agents and automated workflows. It enables users to manage findings, projects, and templates through a standardized interface by wrapping the reptor CLI.

Integrates with Clockify time tracking API to retrieve user information, manage projects, and log time entries with flexible time specifications across workspaces.