Security & Testing MCP Servers

Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.

Provides real-time threat intelligence and malware sample metadata by autonomously interfacing with MalwareBazaar.

Analyzes C# code using the Roslyn compiler platform to validate files, find symbol references, and perform static analysis.

Provides isolated sandbox environments with hardware-level isolation for AI agents and other untrusted code execution.

Enables AI assistants to directly control local Whistle proxy servers through natural language interaction.

Provides a suite of tools for automated frontend testing, including code analysis, test generation, and test execution.

Provides an SSE-based Model Context Protocol server for querying the Open Source Vulnerabilities (OSV) database.

Injects environment variables into Cursor MCP server definitions.

Enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.

Analyzes claims, validates sources, and detects manipulation using multiple epistemological frameworks.

Analyzes Java code to identify critical design issues for AI-assisted refactoring.

Empowers AI assistants with specialist DevOps agents to manage infrastructure and services with integrated security and reliability guidance.

Enables programmatic desktop control, allowing mouse movements, keyboard input, and screen capture via a Model Context Protocol server.

Executes k6 load tests via the Model Context Protocol (MCP).

Automates native macOS applications through natural language commands, enabling AI-assisted control and interaction.

Enables AI tools to orchestrate the complete performance-test lifecycle within BlazeMeter, managing tests, workspaces, projects, and accounts.

Manages OPNsense firewalls by enabling natural language interaction through MCP-compatible AI clients via the OPNsense API.

Integrates Semgrep static analysis with AI assistants for code analysis, security vulnerability detection, and code quality improvements.

Streamlines API test generation and execution using a YAML declarative approach, optimized for AI coding assistants.

Provides a modular Model Context Protocol server to manage OPNsense firewalls through AI assistants.

Scans and remediates hardcoded secrets in codebases using GitGuardian's API, detecting over 500 secret types.

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