Security & Testing MCP Servers

Discover our curated collection of MCP servers for security & testing. Browse 1745servers and find the perfect MCPs for your needs.

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

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

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.

Streamlines AI-assisted development by providing 23 utility tools that cover code quality, development efficiency, and project management workflows.

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

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

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

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

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

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

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

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

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

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.

Empowers AI agents and power users to conduct in-depth codebase analysis and execute context-heavy tasks with Google Gemini.

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