Discover our curated collection of MCP servers for security & testing. Browse 0servers and find the perfect MCPs for your needs.
Enables AI applications to interact with CucumberStudio by providing contextual data and facilitating resource modification.
Analyzes web content, extracts information, and identifies potential issues.
Provides a hobbyist-level MCP server for Vault using Python.
Tracks pytest failures and resolves errors faster using systematic debugging principles and integrates with Large Language Models.
Manages Databricks permissions, credentials, and Git credentials via the MCP protocol, enabling LLM-powered tools to interact with Databricks.
Provides an experimental testing ground for server termination protocols.
Automates responsible AI development and documentation by scanning projects, providing suggestions, and analyzing models.
Automates attack path planning and provides step-by-step reasoning for penetration testing, CTFs, and HTB challenges.
Integrates Pangea's comprehensive suite of security and intelligence APIs with Model Context Protocol (MCP) servers.
Provides access to Tatum's comprehensive blockchain API, supporting over 130 networks and 59 tools across multiple feature categories.
Enables seamless integration between AI agents and the Windows operating system, allowing large language models to perform tasks such as file navigation, application control, and UI interaction.
Enables fingerprint-based consent for secure and verifiable universal AI interactions.
Integrates the powerful xray vulnerability scanner into ModelScope's Model Context Protocol for comprehensive security assessments.
Exposes read-only access to your Vivint home security system's data through a FastMCP server over HTTP.
Implements a Model Context Protocol (MCP) server in Python, offering both stdio and Streamable HTTP transports for AI clients to discover and invoke tools.
Automate comprehensive management and real-time operations across the entire Microsoft 365 ecosystem by leveraging the Microsoft Graph API.
Checks connectivity and measures latency to websites and hosts via Model Context Protocol (MCP).
Intelligently routes tasks to multiple AI agents based on their strengths or user preferences, with auto-fallback on failure.
Streamlines the identification, decoding, and cracking of various cryptography algorithms for CTF challenges.
Enhances security audits with an AI-driven platform for static analysis and advanced vulnerability detection.
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