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Performs real-time security scans on codebases for AI agents and LLM-powered IDEs.
Checks if provided context is safe by identifying potential code injection or harmful content.
Implements a Model Context Protocol server to facilitate operations and management of Easegress gateways.
Facilitates seamless, production-ready integration with the Secret Network blockchain through the Model Context Protocol.
Automates real-time enforcement of TBC Bank development standards with integrated compliance checking and AI-powered code generation.
Provides a secure, read-only server for filesystem scanning, searching, and analysis with comprehensive security validation.
Provides cognitive security for AI-assisted development by preventing dangerous commands and large AI code rewrites when a user is fatigued.
Provides AI agents with programmatic access to virtual phone numbers and an SMS verification API, enabling automated account creation and login workflows.
Perform dry-run EVM transaction simulations to preview results and state changes without broadcasting them to the blockchain.
Facilitates remote command execution and file transfers over SSH via the Model Context Protocol.
Enables AI agents to report their infrastructure requirements, providing aggregated demand signals for development prioritization.
Facilitates controlled SSH command execution and remote configuration inspection via an OAuth-protected server.
Automates comprehensive screening of healthcare providers across eight federal and academic databases to generate a Composite Credentialing Score and actionable recommendations.
Exposes a directory to an AI agent with read-only access, automatically excluding files matched by .gitignore and the .git directory.
Secures sensitive keys and infrastructure for agentic AI applications with a zero-trust secret management ecosystem.
Provides AI assistants with access to BigDataCloud APIs for IP geolocation, reverse geocoding, network intelligence, and data validation.
Provides a security layer for AI agents that manage financial transactions, utilizing six adversarial AI agents to analyze and debate crypto token risk.
Detects, manages, and sanitizes personally identifiable information (PII) within AI systems to prevent data leakage and ensure compliance.
Evaluates AI agent endpoints on trust and capability metrics, providing a comprehensive score and actionable insights.
Ensures FDA SaMD and CE marking compliance for ophthalmic AI devices by providing classification, audit, and checklist functionalities.
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