Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.
Equips AI agents with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL).
Enables natural language command and control of Cobalt Strike operations via a Model Context Protocol server.
Enables security scanning functionality via a standalone Model Context Protocol server.
Enables interaction with Android devices via ADB (Android Debug Bridge) using an MCP server.
Enables AI assistants to interact with Salesforce organizations by providing tools for Apex execution, data querying, metadata management, and code analysis via the Salesforce CLI.
Integrates OWASP ZAP with AI models to enable AI-driven security testing and analysis.
Provides a standardized interface to PCILeech for DMA-based memory operations, enabling memory and debug workflows for MCP clients.
Enables regular CTFd users to manage challenges, interact with dynamic containers, and submit flags.
Enables Large Language Models to analyze memory dumps and perform memory forensics through a conversational interface.
Execute Kali Linux security tools within a containerized environment to facilitate semi-automated penetration testing and security research.
Provides test results context to AI agents by connecting them to Currents.
Integrates Security Orchestration, Automation, and Response (SOAR) capabilities directly into AI clients via the Model Context Protocol.
Provides a secure database query service, built on the FastMCP framework, for robust database querying and analysis.
Integrates Firewalla firewall data with AI platforms like Claude for advanced network security monitoring and management.
Enables customizable interaction with legacy terminal systems via the Remote Terminal Emulation (RTE) protocol.
Provides network scanning functionality through a Model Control Protocol (MCP) server.
Facilitates testing of Model Context Protocol (MCP) server implementations.
Enables AI models to securely interact with a terminal environment.
Exposes project-specific development tools like linters and tests to coding agents via a simple YAML configuration, enabling easy setup, execution, and sharing.
Connects MCP clients to Cortex, enabling threat intelligence analysis via tools consumable by large language models.
Scroll for more results...