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Facilitates XSS (Cross-Site Scripting) vulnerability testing using an AI-powered MCP server.
Generates and runs mock API servers from API documentation, such as OpenAPI/Swagger specifications.
Enables querying IP addresses, organizations, ASNs, and DNS records using natural language via Model Context Protocol integration for NetworksDB API.
Enables large language models to interact with GDB for binary debugging and analysis.
Cryptographically signs and verifies AI agent tool schemas to prevent supply-chain attacks.
Enables policy-driven vetting of open source dependencies within GitHub workflows to actively protect against vulnerabilities and malicious components.
Executes code securely within isolated sandbox environments, adhering to the Message Communication Protocol (MCP) standard.
Facilitates the scanning and analysis of APK and IPA files using MobSF's REST API, integrating with MCP-capable clients.
Analyzes code repositories for vulnerabilities and quality issues, suggesting fixes based on Sentry error logs.
Bridges the gap between testing platforms and development environments, allowing LLMs to access and execute tests.
Tests backend APIs for security vulnerabilities using a Model Context Protocol (MCP) server.
Enables AI assistants to naturally control web browsers and perform complex web automation tasks.
Connects AI models and automation tools to TheHive incident response platform.
Enables AI assistants to interact with Kibana Security alerts through a Model Context Protocol (MCP) server.
Retrieves CVE details from the NVD API and fetches EPSS scores to provide comprehensive vulnerability information.
Enables AI models and agents to measure internet speed and network performance metrics through a standardized Model Context Protocol (MCP) interface.
Automates complex iOS development workflows by enabling AI assistants to interact with iOS simulators, manage applications, and perform accessibility testing.
Provides comprehensive IP address intelligence, including geolocation, network details, and privacy detection, via the IPLocate.io API.
Enables AI assistants to perform code quality checks, suggest improvements, and automate debugging workflows.
Scans projects for security vulnerabilities and automatically updates vulnerable dependencies using Trivy.
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