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Enables querying IP addresses, organizations, ASNs, and DNS records using natural language via Model Context Protocol integration for NetworksDB API.
Facilitates testing of Model Context Protocol (MCP) server implementations.
Enables AI models to securely interact with a terminal environment.
Analyzes code repositories for vulnerabilities and quality issues, suggesting fixes based on Sentry error logs.
Enables AI assistants to perform code quality checks, suggest improvements, and automate debugging workflows.
Cryptographically signs and verifies AI agent tool schemas to prevent supply-chain attacks.
Provides a production-ready framework for building and scaling MCP servers with features like Redis-backed state management and delegated OAuth support.
Provides network scanning functionality through a Model Control Protocol (MCP) server.
Enables LLMs to securely execute code via a managed code interpreter.
Pins third-party dependencies to immutable digests using the Model Context Protocol.
Analyzes Python code for structure, complexity, and dependencies using a Model Context Protocol server.
Retrieves CVE details from the NVD API and fetches EPSS scores to provide comprehensive vulnerability information.
Orchestrates multiple AI models for automated code review, security analysis, and multi-agent consensus within development workflows.
Tests backend APIs for security vulnerabilities using a Model Context Protocol (MCP) server.
Enables AI models and agents to measure internet speed and network performance metrics through a standardized Model Context Protocol (MCP) interface.
Provides read-only access to Microsoft Sentinel data for querying, incident viewing, and resource exploration, designed for use with LLMs in test environments.
Provides intelligent mobile device control and automation capabilities for Android and iOS, deeply integrated with Cursor AI.
Equips AI agents with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL).
Connects MCP clients to Cortex, enabling threat intelligence analysis via tools consumable by large language models.
Automates GDB interactions by exposing its command interpreter as a lightweight server.
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