Discover our curated collection of MCP servers for security & testing. Browse 2792 servers and find the perfect MCPs for your needs.
Provides a Model Context Protocol (MCP) server implementation, enabling privateGPT as an agent for seamless integration with any MCP-compatible application.
Enforces security configurations for Microsoft 365 in accordance with CISA Binding Operational Directive 25-01.
Enables LLMs to efficiently compute MD5 and SHA-256 hashes via the Model Context Protocol.
Provides a simple server for testing Model Context Protocol (MCP) clients.
Serves OWASP Cheat Sheet Series content via a minimal Model Context Protocol (MCP) compatible server.
Provides AI-powered security insights for Kubernetes and cloud environments through a Model Context Protocol server.
Provides comprehensive Python code analysis for linting and dead code detection via the Model Context Protocol.
Enables robust, high-performance browser automation on ARM64 architectures, designed to overcome limitations of traditional tools for autonomous testing and AI development on budget hardware.
Supercharges Flutter Widgetbook development by granting AI assistants direct access to create, modify, and test UI components within your design system.
Provides an open-source, self-hostable REST API for sending faxes with integrated AI assistant support and HIPAA compliance.
Integrates OWASP ZAP with AI assistants and MCP clients to enable AI-powered security testing through automated vulnerability scanning.
Automates the generation, execution, and reporting of API tests using Swagger/OpenAPI and Postman collections.
Integrates multiple Static Application Security Testing (SAST) tools with Claude Code AI, enabling automated security analysis and vulnerability scanning directly from an AI assistant.
Enables AI coding assistants to generate `.env` files securely without exposing sensitive values.
Facilitates the generation of valid Terraform code and enforces ephemeral-values compliance for multi-cloud environments.
Translates Chinese legal regulations and logic into machine-actionable code for AI agents, enabling compliance and legal understanding.
Secures AI agent API calls by acting as a stateless intermediary, preventing agents from directly accessing real credentials.
Evaluates AI-generated code across 18 specialized domains for security, cost, scalability, cloud readiness, and best practices.
Exposes the OpenZiti Management API to AI agents, enabling natural language control over network resources.
Scans DNS and email configurations for security vulnerabilities, providing comprehensive insights and remediation guidance.
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