Discover our curated collection of MCP servers for security & testing. Browse 1494servers and find the perfect MCPs for your needs.
Analyzes security threats using AI-powered natural language to SQL conversion on an MCP Server.
Generates secure One-Time Passwords (OTP) as an MCP server.
Executes code securely within isolated Docker containers for AI assistants using the Model Context Protocol.
Provides advanced functionalities for the VeChain network, including querying documentation, executing Thor REST API requests, and managing cryptographic signatures.
Enables AI assistants to directly access Wireshark's network analysis capabilities, empowering automated troubleshooting, packet analysis, and network monitoring.
Empowers AI assistants with accurate Liquidsoap 2.4.0 documentation, examples, and script validation to eliminate hallucinations and version discrepancies.
Automates and enhances binary analysis for cybersecurity professionals by integrating Ghidra's reverse engineering capabilities with GPT-5 AI technology.
Provides a minimal, protocol-compliant test server designed for validating initial client/server setups before adding any functionality.
Integrates threat intelligence from MISP with Large Language Models via a Model Context Protocol (MCP) server.
Provides a Model Context Protocol (MCP) server implementation, enabling privateGPT as an agent for seamless integration with any MCP-compatible application.
Facilitates interaction between Large Language Models (LLMs) and the SD Elements security development lifecycle platform through a Model Context Protocol (MCP) server.
Enables AI assistants to check software end-of-life dates and support status using the endoflife.date API.
Automates comprehensive penetration testing, including reconnaissance, vulnerability scanning, and controlled exploitation.
Converts JavaScript modules into sandboxed Model Context Protocol (MCP) servers with automatic reflection and type inference.
Enables AI tools to interact with Keyfactor Command for certificate management functions.
Audits frontend project dependencies for security vulnerabilities, generating detailed reports and remediation suggestions for both local and remote repositories.
Automates the programmatic generation of Bruno API testing collections, environments, and requests using Model Context Protocol.
Analyzes Codecov reports to suggest tests and identify areas lacking test coverage.
Enables AI agents and clients to seamlessly invoke various penetration testing tools within a Windows environment.
Validates ARIA attributes and role properties using the Model Context Protocol.
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