Descubre nuestra colección curada de servidores MCP para security & testing. Explora 1969 servidores y encuentra los MCP perfectos para tus necesidades.
Executes an agent, potentially for use with CodeQL analysis on local Git repositories within a Docker container.
Manages authentication with secure credential management, multi-protocol support, and threat detection.
Facilitates the integration of PrivateGPT's capabilities as an agent for any Model Context Protocol (MCP)-compatible application.
Leverages AI to function as an agent for security capabilities.
Performs real-time security scans on codebases for AI agents and LLM-powered IDEs.
Provides scenarios to test MCP server basic functionality and client-server interactions.
Provides a Multi-Agent Conversation Protocol (MCP) server for the WHOIS API.
Transforms a Dify application into a Message Communication Protocol (MCP) server endpoint.
Provides reversible anonymization and deanonymization of sensitive information within text messages.
Fetches the current Ethereum price in USD, explicitly designed as a security test for MCP platforms.
Validates Dify Workflow DSL YAML files for correctness and adherence to specifications.
Exposes the VaultMesh-Architect skill as explicit, auditable tools, supporting subsystem spawning, multi-chain anchoring, governance entries, and capability issuance.
Provides a Dockerized Ubuntu environment accessible via a secure HTTP API to safely execute shell commands for AI agents without modifying the host system.
Identifies and resolves outdated or vulnerable packages in Python projects using AI-powered analysis.
Provides a unified server to check package versions and metadata across various programming language ecosystems.
Empowers AI assistants with deep code analysis capabilities, including AST-based test generation, OWASP-style security audits, and intelligent refactoring suggestions.
Provides pairwise combinatorial testing capabilities to AI assistants.
Automates LLM red teaming workflows, featuring asynchronous job handling and seamless integration.
Manages AdGuard Home filtering and settings via the Model Context Protocol.
Ensures AI agents obtain explicit, verified consent before initiating contact with humans, acting as an ethical gateway for proactive interactions.
Scroll for more results...