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"Penetration Testing" matching MCP servers:

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    A comprehensive security testing MCP server providing 51 tools for penetration testing, network forensics, memory analysis, and vulnerability assessment. It enables automated security audits and technical investigations across web applications, cloud environments, and network captures.
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    MIT
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    Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.
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    Enables AI agents to hire real human operators for tasks requiring physical presence, human perception, or judgment, such as verification, testing, data collection, and physical-world tasks.
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    MIT
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    MCP server for autonomous end-to-end testing with Wopee.io. Analyzes web applications, generates and executes Playwright-based functional tests, and validates results — all driven by natural language commands.
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    MIT
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    MCP bridge that lets any MCP client drive the Alethia runtime for agent-native E2E testing. It provides a per-step policy gate that blocks destructive actions with a cryptographic audit trail.
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    MIT
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    Enables AI agents to interact with Appcircle mobile CI/CD platform for build management, signing identities, testing distribution, and reporting.
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    MIT
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    Enables Claude Desktop to automate web browsers and mobile applications (iOS/Android) using WebDriverIO. Supports browser automation, mobile app testing, touch gestures, app lifecycle management, and hybrid app context switching through natural language.
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    MIT
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    Enables AI assistants to interact with SmartBear's suite of testing and monitoring tools including BugSnag, Swagger, Reflect, and more through natural language, allowing querying of testing data, analysis of performance metrics, and management of test automation.
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    MIT
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    Read-only MCP server exposing ActiveView's external API for querying price rules, domain/network reports, and A/B testing redirects, enabling Claude to analyze ad performance data without modifications.
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    Enables AI assistants to parse, validate, send, and inspect X12 EDI documents via the SignalEDI Core API, with optional QuickBooks integration and a demo mode for keyless local testing.
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    MIT
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    Exposes Specmatic's API contract testing, resiliency testing, and mocking capabilities to AI coding agents via natural language, enabling automated validation and simulation of API behaviors.
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    MIT
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    Enables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.
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    Apache 2.0
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    Converts natural language security requirements into validated Cerbos YAML policies with automated testing and red-team analysis, enabling AI governance with zero-trust guardrails for tool calls, data access, and compliance frameworks.
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    Apache 2.0
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    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.
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    Apache 2.0