Discover our curated collection of MCP servers for security & testing. Browse 1651servers and find the perfect MCPs for your needs.
Facilitates live reverse engineering of Android applications by connecting JADX decompiler with local LLMs via Model Context Protocol (MCP).
Enables secure command-line interactions on Windows systems for controlled access to various shells and remote systems via the Model Context Protocol.
Enables large language models to securely read, manage, and operate Salesforce resources.
Protects AI applications by automatically scanning and blocking malicious Model Context Protocol (MCP) traffic.
Enables secure command-line interactions on Windows systems through the Model Context Protocol.
Enables LLM assistants to interact with the Foundry ecosystem for Solidity development and blockchain analysis.
Securely executes stateful Python code in sandboxed environments designed to run indefinitely.
Facilitates open-source intelligence by collecting user account information from various public sources.
Automates browser testing and integrates with Cloudflare Workers and Browser Rendering.
Provides cryptographic tools for establishing end-to-end encryption between LLM agents.
Enables end-to-end encrypted communication between LLM agents through cryptographic tools.
Provides an MCP server and plugin for JEB Pro, facilitating advanced reverse engineering workflows and integration with external analysis tools.
Enforces SQL best practices through over 120 static code analysis rules for SQL Database Projects.
Integrates Google's Gemini AI capabilities into Claude Code, providing a powerful AI assistant with a massive context window for code analysis.
Connect AI agents directly to Cheat Engine, automating reverse engineering, pointer scanning, and memory analysis using natural language commands.
Enables AI assistants and LLM applications to securely execute code snippets within isolated containerized environments.
Manages, proxies, and secures Model Context Protocol (MCP) servers to control LLM activity.
Enables coding agents to write, run, and maintain integration tests for various data resources, APIs, and customer journeys.
Executes Python code in a secure, sandboxed environment using an MCP server.
Enables AI assistants to interact directly with IDA Pro for binary analysis tasks.
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