Discover our curated collection of MCP servers for security & testing. Browse 2747 servers and find the perfect MCPs for your needs.
Orchestrates code submission and review using the Model Context Protocol (MCP).
Enables communication with Nmap using a Model Context Protocol (MCP) server.
Provides a queryable collection of software development standards and best practices for AI agents.
Audits JSON Web Tokens using a suite of advanced security tools via an MCP server.
Extracts IDL files from closed-source Solana smart contracts and decompiles them using an AI-powered platform.
Enables AI applications and LLMs to securely protect and reveal sensitive data through the CipherTrust RESTful Data Protection (CRDP) service.
Aggregates multiple backend services behind a single, secure HTTP endpoint, providing unified access and authentication.
Integrates Zebrunner Test Case Management with AI assistants to empower QA teams with test case, suite, and execution data management.
Generates and inspects webhook endpoints for efficient testing and debugging of HTTP requests.
Automate comprehensive penetration testing with an AI-powered framework leveraging LM Studio for autonomous decision-making.
Provides secure, sandboxed access to filesystem operations, enabling controlled file management via the Model Control Protocol.
Leverages AI with Claude Code and Model Context Protocol (MCP) to intelligently refactor and optimize large software repositories.
Connects to servers securely through an SSH Gateway to execute commands with robust access control and Kerberos authentication.
Provides runtime defense for AI agents by intercepting prompts and LLM responses through a pipeline of inline defenses and output scanners.
Manages Zitadel identity and access resources, including users, projects, applications, and roles, through natural language commands via AI tools.
Provides AI assistants with real-time access to a comprehensive platform for vulnerability and exploit intelligence.
Establishes cryptographic identity for AI agents, enabling signed actions, verifiable audit trails, and scoped trust delegation.
Manages advanced shell command execution for AI agents, including process lifecycle, bounded output, POSIX signals, and a robust security policy engine.
Align feature intent with test coverage by transforming plans into version-controlled specs and generating test skeletons.
Equip AI agents with a real Firefox browser and advanced security tools to identify web vulnerabilities automatically.
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