Discover our curated collection of MCP servers for security & testing. Browse 2747 servers and find the perfect MCPs for your needs.
Enables AI assistants to check software end-of-life dates and support status using the endoflife.date API.
Highlights potential security risks associated with using tools within the Model Context Protocol (MCP) framework.
Enables AI models to securely interact with Windows command-line functionality.
Provides secure filesystem access for AI models through the Model Context Protocol by enforcing strict path validation and allowing access only to predefined directories.
Analyzes security threats using AI-powered natural language to SQL conversion on an MCP Server.
Connect debuggers such as GDB, LLDB, and PDB to LLM agents using the Model Context Protocol.
Retrieves CVE (Common Vulnerabilities and Exposures) information from the National Vulnerability Database (NVD).
Pings a specified host and returns the connectivity result.
Analyzes log files from the Chuanyu Cloud Defense Platform, designed for integration with AI large models.
Integrates Google Gemini CLI with Claude Code for AI-powered development assistance via a Model Context Protocol server.
Offers a Model Context Protocol (MCP) server implementation with streamable HTTP transport and an OAuth proxy for integrating with third-party authorization servers like Auth0.
Provides AI assistants with comprehensive, structured access to the full capabilities of the Metasploit Framework for security analysis and penetration testing.
Provides Model Context Protocol (MCP) server implementations to integrate various threat intelligence and cybersecurity tools, starting with OpenCTI.
Empower AI assistants to validate, parse, and analyze ANTLR4 grammars through natural language conversation.
Wraps Facebook IDB to control iOS simulators for automation, exposing functionalities via an MCP server and a Python library.
Enables large language models to interact with the SD Elements security development lifecycle platform.
Empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules through a powerful Model Context Protocol (MCP) server and Omni-AST engine.
Exposes any live webpage's accessibility tree to Claude to generate stable, framework-agnostic test selectors.
Isolate credentials for AI agents, injecting them securely at the network boundary and providing robust access control.
Provides a persistent, intelligent memory layer for AI applications.
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