Discover our curated collection of MCP servers for security & testing. Browse 1745servers and find the perfect MCPs for your needs.
Manages Netskope Network Private Access (NPA) infrastructure using Large Language Models (LLMs) via a Model Context Protocol (MCP) server.
Provides a secure Model Context Protocol (MCP) server for agent development, enabling authorized operations within a specified project directory.
Provides an MCP server for comprehensive RTL waveform analysis using the Waveform Analysis Language (WAL).
Orchestrates a collection of MCP servers and tools for enhanced cybersecurity operations, integrating with AI assistants.
Provides a unified CLI for real-time network telemetry querying, connectivity analytics, and AI-powered insights, leveraging MCP server capabilities.
Enables easy FOFA data querying through a Model Control Protocol (MCP) based API server.
Validates OpenAPI specifications using the APIMatic API with Model Context Protocol.
Enables secure shell command execution for Large Language Models (LLMs).
Bridges Kali Linux penetration testing tools with AI agents for automated security workflows.
Securely manages Keeper Secrets Manager (KSM) secrets for AI agents through the Model Context Protocol (MCP).
Integrates with Authentik API via the Model Context Protocol, offering both full CRUD and diagnostic capabilities for identity and access management.
Integrates Facebook's iOS Development Bridge (idb) with the Model Context Protocol (MCP) for automated iOS device management and testing.
Generates automated audit reports for Google Cloud Platform resources.
Analyzes Codecov reports to suggest tests and identify areas lacking test coverage.
Assemble a council of AI experts to review code from diverse perspectives using multiple AI models.
Provides access to GitHub Advanced Security alerts for repositories.
Provides advanced functionalities for the VeChain network, including querying documentation, executing Thor REST API requests, and managing cryptographic signatures.
Facilitates code review by fetching and applying custom coding guidelines, validation rules, and security standards.
Provides an interface to Gremlin's reliability management APIs, enabling comprehensive reliability testing, monitoring, and reporting.
Automates Xcode test execution and linter analysis for iOS projects, delivering structured feedback for AI assistants and developers.
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