Extract and analyze web page content to answer specific questions using RAG (Retrieval Augmented Generation). Provide AI-generated responses based on relevant page sections for accurate insights.
Perform semantic searches across indexed codebases using RAG (Retrieval-Augmented Generation) to find relevant code snippets based on meaning and context.
Query documents with context using a Retrieval-Augmented Generation (RAG) system. Automatically creates an index if it does not exist, enabling quick access to relevant information from stored repositories and text files.
Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.
Kotlin MCP Server for Android app development using OpenAI, Gemini, or OpenRouter. Enables AI-assisted coding via Aider, Gradle build/test integration, Kotlin LSP, and Docker-based portability.