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Generates a Software Bill of Materials (SBOM) in CycloneDX format by performing a Trivy scan.
Displays desktop notifications on Windows 10 and macOS based on requests from Model Context Protocol (MCP) clients.
Generates MySQL test data for local development environments.
Integrates Google's Gemini model with Claude using the Model Context Protocol (MCP).
Enables AI assistants to securely connect and interact with external Firebird databases for SQL query execution and data management.
Exposes an HTTP Model Context Protocol (MCP) server using Spring Boot and Spring AI to provide custom, secured tools.
Provides a Model Context Protocol (MCP) server with remote debugging and profiling tools for Go applications.
Provides a Model Context Protocol server for connecting to and managing diverse database types with powerful AI-driven tools.
Integrates privacy-focused Presearch capabilities and web content scraping with AI assistants using the Model Context Protocol.
Facilitates making HTTP requests, GraphQL queries, and raw TCP/Telnet connections using natural language from AI assistants.
Converts HTML files or content strings to high-fidelity PDF documents using Puppeteer's browser rendering engine.
Provides enhanced semantic code search and deep context for AI coding agents with improved stability, faster synchronization, and reliable data persistence.
Provides comprehensive network diagnostic and analysis tools to AI agents for efficient, structured insights.
Query Codecov coverage data, supporting both codecov.io and self-hosted instances with configurable URL endpoints.
Provides AI coding agents with persistent institutional memory, allowing them to learn from past experiences and improve across coding sessions.
Streams live Figma design data to AI coding tools, bypassing API rate limits by reading directly from the canvas.
Connects AI agents to physical serial devices, enabling programmatic interaction for development, debugging, and automation.
Enables Claude Code to connect to remote SSH servers, execute commands, and automate deployments without leaving the conversation.
Enables AI agents to control MagicMirror² installations and integrate with Home Assistant via a Model Context Protocol (MCP) server.
Prevents AI coding assistants from getting stuck in repetitive fix loops by detecting patterns and enforcing course correction.
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