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Enables an MCP server to control a web browser for automated testing.
Automates responsible AI development and documentation by scanning projects, providing suggestions, and analyzing models.
Demonstrates and tests various mechanisms of the Model Context Protocol (MCP) using its TypeScript SDK.
Securely integrates Anthropic Claude with AI assistants via an HTTP API proxy, offering comprehensive safety controls and permission management.
Provides an extensible and production-ready template for building async Model Context Protocol (MCP) servers in Python.
Provides Language Learning Models with a safe interface to discover and execute system commands on the local machine via the Model Context Protocol.
Provides access to Docker Hub functionality through AI clients like Claude, securely managing credentials and facilitating image operations.
Provides a secure, AI-powered chatbot for contextualized querying of internal AMDIE documents.
Provides a unified multi-cloud abstraction framework for secure, dynamic access to AWS, Azure, and OCI services, including financial data sources.
Provides real-time, privacy-preserving analysis of LLM interactions to detect out-of-distribution behaviors and recommend safety interventions.
Provides secure and controlled access to SQLite databases through a standardized Model Context Protocol interface.
Provides a simulated MCP server environment for robust client testing and streamlined development.
Automates macOS graphical user interfaces and inspects applications using native accessibility APIs.
Manages Claude skills by discovering, fetching, validating, and converting them from skills.sh and GitHub repositories.
Establishes a hierarchical, markdown-based memory system for autonomous AI agents, designed to optimize context window usage and enhance knowledge retrieval.
Verify AI agent competency and quality using challenge-response tests and W3C Verifiable Credentials.
Enables AI assistants to manage MikroTik RouterOS networks across multiple devices using natural language.
Provides AI agents with deep inspection capabilities for video delivery workflows, analyzing HLS, DASH, MP4, audio, video, and subtitle assets using dockerized industry-standard media tools.
Automates CI/CD failure diagnosis, generates LLM-driven auto-repair pull requests, and orchestrates governed software releases.
Validate and manage DORA Article 11/12 resilience requirements through a suite of tools for business continuity and disaster recovery planning.
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