Discover our curated collection of MCP servers for security & testing. Browse 1771servers and find the perfect MCPs for your needs.
Enables agents to test language model prompts with different providers and configurations.
Automate security auditing by scanning local paths or remote repositories for exposed API keys and cloud endpoints, validating their active status.
Empowers AI assistants with specialized analysis tools for comprehensive code review, including test generation, security auditing, and refactoring suggestions.
Automates LLM red teaming workflows, featuring asynchronous job handling and seamless integration.
Analyzes PCAP/PCAPNG network captures to detect and classify port scanning techniques.
Enables secure remote command execution and file operations through SSH for Model Context Protocol.
Orchestrates smart contract security audits by integrating industry-standard analysis tools and custom pattern checks via the Model Context Protocol.
Enables AI applications to interact with the COTI blockchain, specializing in private token operations using Multi-Party Computation (MPC) technology.
Encodes and decodes secret messages using advanced Unicode steganography techniques.
Executes predefined system commands with integrated safety checks and confirmation prompts.
Enables Large Language Models to securely browse, interact with, and manage local file systems.
Automates browser interactions using Playwright to enable LLMs to interact with web pages.
Provides a Model Context Protocol (MCP) interface for security analysis tools, enabling comprehensive code and infrastructure vulnerability scanning.
Facilitates secure collaboration among multiple LLM agents using the Model Context Protocol, featuring advanced safeguards, auditable logs, and rate limiting.
Executes authorized shell commands remotely with support for standard input and comprehensive output.
Enhances Android testing capabilities and streamlines development workflows using the Espresso Android Test Framework.
Safeguards sensitive information by redacting, allowlisting, and sanitizing data before it reaches large language models.
Integrates SonarCloud's project, issue, quality gate, and security hotspot management into AI-driven workflows via the Model Context Protocol.
Provides a testing ground for validating and demonstrating server-side operations and integrations.
Enables AI IDEs and agents to securely query Graylog instances via the Model Context Protocol.
Scroll for more results...