Discover our curated collection of MCP servers for security & testing. Browse 1651servers and find the perfect MCPs for your needs.
Conducts open-source research into AI consciousness, quantum coherence, and field-based memory systems, producing verifiable MCP server tools.
Provides a minimal Python service for proxying and managing Xray for Jira API requests, driven by an OpenAPI schema.
Monitors system state and network activity while enabling secure remote access to devices, particularly for firewall and network-facing systems.
Enables AI assistants to interact with security data pipelines and map security data to the Open Cybersecurity Schema Framework (OCSF).
Enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities via a Model Context Protocol (MCP) server.
Enable AI assistants to explore and query your Tailpipe data using natural language.
Provides an experimental server for interacting with the OXC parser's Abstract Syntax Tree.
Empowers LLMs to author end-to-end style integration tests by providing real-time access to the test environment.
Provides secure filesystem access for AI models through the Model Context Protocol by enforcing strict path validation and allowing access only to predefined directories.
Enables AI tools to visually interact with macOS applications through screenshots, optical character recognition (OCR), and automated controls.
Executes shell commands via the Model Context Protocol (MCP) enabling safe execution of shell commands by AI agents.
Provides a server for managing secrets used in conjunction with large language models and related tools.
Analyzes security threats using AI-powered natural language to SQL conversion on an MCP Server.
Facilitates secure and low-latency communication between diverse devices, robots, applications, and AI agents through a Universal Agent Protocol.
Analyzes log files from the Chuanyu Cloud Defense Platform, designed for integration with AI large models.
Automates comprehensive security analysis and vulnerability detection for Android APKs.
Connect debuggers such as GDB, LLDB, and PDB to LLM agents using the Model Context Protocol.
Enables AI models to securely interact with Windows command-line functionality.
Automates Chrome browser control while bypassing anti-bot detection mechanisms.
Provides a robust source of cyber and threat intelligence.
Scroll for more results...