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Analyzes code repositories and performs security assessments using the Model Context Protocol (MCP).
Extracts diffs from GitHub Pull Requests via the GitHub REST API.
Manages Jira Service Management (JSM) asset schemas via the Model Context Protocol (MCP).
Facilitates Terrakube operations by enabling workspace management, variable handling, module operations, and organization management.
Provides an interactive interface for managing Kubernetes resources, retrieving logs, and formatting logs for export.
Implements a Model Context Protocol server using Server-Sent Events (SSE), designed for deployment with Netlify Edge Functions.
Manages Kubernetes deployments, pods, and services through a Model Control Protocol (MCP) server.
Automates the installation and containerization of other Model Context Protocol (MCP) servers directly from GitHub repositories.
Provides RESTful API access to Ultralytics YOLO operations for various computer vision tasks including training, validation, prediction, export, tracking, and benchmarking.
Showcases Claude's autonomous interaction capabilities within a virtual machine, offering real-time observation and control.
Integrates a Kubernetes MCP server with an AI-powered UI plugin, deployable via Docker Compose.
Exposes Upsun cloud platform APIs as Model Context Protocol (MCP) tools for AI assistants.
Provides real-time, cross-platform diagnostic and monitoring insights for operating systems through a unified API, enabling AI assistants and users to manage system health and performance.
Provides a production-ready Model Context Protocol (MCP) server to manage Google Calendar events and Google Meet conferences with robust security and enterprise features.
Enables AI integration with Minecraft servers, providing direct control over Spigot/Paper server consoles and files from AI clients like Cursor and Claude via Model Context Protocol.
Enables AI agents to efficiently manage GitLab operations with substantial token savings.
Empowers AI coding agents with autonomous control over Unreal Engine 5.7 projects.
Enables AI agents to execute Python code securely within isolated environments.
Establishes a robust, production-extracted architecture for Claude Code CLI interactions, preventing context loss and ensuring consistent, high-quality outputs.
Manage Proxmox VE clusters using natural language through AI assistants.
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