Discover our curated collection of MCP servers for security & testing. Browse 2090servers and find the perfect MCPs for your needs.
Queries ZoomEye for network asset information based on dorks and other search parameters.
Exposes the Mythic framework as an MCP server for Large Language Model (LLM) integration.
Exposes GDB debugging capabilities via the MCP protocol for remote application debugging.
Enables the execution of JMeter tests via Model Context Protocol (MCP)-compatible clients.
Automates security analysis and remediation for AI-generated code within AI coding environments.
Provides a curated list of best practices for building Model Context Protocol (MCP) servers and clients.
Enables structured interaction with network devices via STDIO using the JSON-RPC 2.0 protocol.
Enables AI assistants to execute shell commands securely and auditably through the Model Context Protocol.
Automates, debugs, and observes Electron applications through AI-powered capabilities and Chrome DevTools Protocol integration.
Provides a lightweight and secure Python code execution sandbox based on IPython and Docker, designed for AI agents.
Enables AI assistants to execute Python code with pexpect functionality, allowing for interactive debugging and programmatic command-line interaction.
Orchestrates automated reverse engineering and debugging across multiple IDA Pro instances.
Enables AI CLI tools like Cursor and Claude Code to invoke specialized, custom AI agents for specific tasks.
Provides real-time access to global security events and threat intelligence.
Empower AI assistants with real-time insights into open-source security vulnerabilities, license compliance, and dependency health.
Automates Ludus cyber range environments with AI-powered natural language commands.
Augments Claude Code with project memory, intelligent task routing, and expert responses for software development workflows.
Manages MCP skill versions, detecting updates, facilitating A/B testing, and intelligently merging custom changes with integrated security scanning.
Wraps popular developer tools with structured, token-efficient, schema-validated output for AI coding agents.
Scans code for vulnerabilities, detects AI-hallucinated packages, and blocks prompt injection for AI coding agents and autonomous assistants.
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