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"Cybersecurity penetration testing frameworks" matching MCP servers:

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    Enables AI assistants to interact with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF) through Tenzir. Provides seamless integration for processing and analyzing cybersecurity data using natural language.
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    Apache 2.0
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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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    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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    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 server that enables Claude Code to drive the Konsulto cybersecurity audit platform from the CLI, including reading and writing findings, managing evidence, and handling scope and assets.
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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 MCP clients to interact with SentinelOne's cybersecurity platform for security analysis, threat investigation, and asset management through natural language queries. Provides read-only access to alerts, vulnerabilities, misconfigurations, and inventory data.
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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 sending transactional emails and managing email templates through Mailtrap's API. Supports both production email delivery and sandbox testing with comprehensive template management capabilities.
    Last updated
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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.
    Last updated
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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.
    Last updated
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    Apache 2.0
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    An Open Sourced Model Context Protocol (MCP) Local server that gives Claude real-time cybersecurity reconnaissance capabilities
    Last updated
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    MIT