Context AI Agent Skills

Control Android devices with AI through the Model Context Protocol DroidMind is a powerful bridge between AI assistants and Android devices, enabling control, debugging, and system analysis through natural language. By implementing the Model Context Protocol (MCP), DroidMind allows AI models to directly interact with Android devices via ADB in a secure, structured way. When used as part of an agen

✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 🧑‍💻 Development A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift. - ✅ Configuration: - Automatically detect changes in the Kubernetes configuration and update the MCP server. - View and manage the current Kubernetes .kube/config or in-cluster

aka Vibe Debugging This is an MCP Server and VS Code extension which enables claude to interactively debug and evaluate expressions. That means it should also work with other models / clients etc. but I only demonstrate it with Claude Desktop and Continue here. It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode. 1. Download the extension from re

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This skill should be used when the user asks to "generate documentation", "document this project", "create docs", "write documentation", "update documentation", "document all APIs", "generate onboarding docs", "create developer docs", or needs comprehensive codebase documentation. Orchestrates parallel AI agents to analyze code and produce documentation files.

After install, run st --cleanup to scan for and remove any malicious AI integrations. Security scanner detects supply chain attacks targeting AI assistants. Why this matters: Some npm packages install MCP servers that phone home to external endpoints, fetch mutable content via IPFS/IPNS, and can inject behavioral modifications into your AI sessions. These supply chain attacks are difficult to dete

Self-hosted MCP server for your documentation. Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API. ContextMCP creates a searchable knowledge base from your documentation that AI assistants can query via the Model Context Protocol (MCP). 1. Parse - Extract content from your docs, APIs, and READMEs 2. Chunk - Split into semantic chunks opt

The mcp-server is part of the CYBERDUDEBIVASH ecosystem. It provides a powerful autonomous zero-trust AI cybersecurity command center. This tool helps protect your digital assets and identifies threats in real time. Its goal is to make cybersecurity easier for everyone. To get started with the mcp-server, follow these simple steps: 1. Visit the Releases Page: You need to download the software from