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Enables AI tools to orchestrate the complete performance-test lifecycle within BlazeMeter, managing tests, workspaces, projects, and accounts.
Analyzes Java code to identify critical design issues for AI-assisted refactoring.
Provides real-time security analysis of code by connecting to the Asterisk security API.
Orchestrates AI agents to autonomously handle complex, multi-step software development tasks.
Securely stores and retrieves API keys using the macOS Keychain, accessible across projects via the Model Context Protocol (MCP).
Injects environment variables into Cursor MCP server definitions.
Integrates frontend development servers with a Model Context Protocol server to enhance development workflows.
Integrates Wireshark/tshark to provide network packet capture and analysis capabilities via a Model Context Protocol server.
Provides a command-line interface for interacting with the Horizon3.ai API, enabling automation of autonomous pentesting workflows.
Integrates Wazuh security data with Large Language Models, providing real-time security context.
Enables AI agents to control the Intruder security platform.
Captures screenshots and monitors console logs from web pages using Playwright, serving as a Model Context Protocol (MCP) server.
Bridges AI with penetration testing tools to guide pentesters through each phase of an engagement.
Reviews code and provides feedback with the sarcastic and cynical perspective of a grumpy senior developer.
Provides a centralized gateway and proxy for Model Context Protocol (MCP) servers, enhancing secure and scalable AI model interactions.
Provides a complete interface to the Delve debugger for Go programs through MCP tools.
Securely executes pre-approved commands using the Model Context Protocol.
Enables AI models to execute any open-source tool through the Model Context Protocol.
Detects vulnerabilities and automates browser interactions for security testing.
Enables AI assistants to securely search, analyze, and validate Splunk queries with built-in safety guardrails.
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