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Analyzes web content, extracts information, and identifies potential issues.
Enables AI assistants to perform DNS reconnaissance through natural language requests using the DNSDumpster API.
Enables an MCP server to control a web browser for automated testing.
Validates MCP servers and their tokens.
Provides a backup of a server with a rope tool implementation experiencing issues with import organization.
Automates responsible AI development and documentation by scanning projects, providing suggestions, and analyzing models.
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 a comprehensive lab environment to deploy Model Context Protocol (MCP) servers and seamlessly integrate them with Microsoft Copilot Studio.
Enables fingerprint-based consent for secure and verifiable universal AI interactions.
Provides a secure, AI-powered chatbot for contextualized querying of internal AMDIE documents.
Exposes compliance analysis and Azure operations tools as an MCP-compatible server via stdio for seamless client integration.
Analyzes transactions for fraud using advanced models, providing insights and risk scores to enhance investigation efficiency.
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.
Optimizes Jenkins interactions for AI coding assistants, providing token-aware formatting, smart log handling, and automated failure triage.
Establishes a robust security layer for AI agents and Claude Code, implementing input validation, output filtering, and policy enforcement.
Wraps OpenAI's Codex CLI with Ollama backend support, enabling agentic coding tasks to be routed through local or remote models.
Provides AI assistants deep access to GitHub repositories for browsing, file access, code search, and API monitoring via the Model Context Protocol.
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