Taja AI is a robust platform designed to optimize YouTube video metadata efficiently. The AI-driven tool focuses on creating algorithm-friendly titles, descriptions, tags, and chapters to enhance video discoverability and engagement. Aimed at streamlining content creation workflows, Taja AI offers powerful features like audience analysis and trend prediction, ensuring your content gains maximum traction and reach on YouTube.

MCP Context Forge allows developers to define multiple channels such as text, code, embeddings, and custom metadata, orchestrating them into cohesive context windows for AI agents. Through its pipeline architecture, it automates segmentation of source data, enriches it with annotations, and merges channels based on configurable strategies like priority weighting or dynamic pruning. The framework supports adaptive context length management, retrieval-augmented generation, and seamless integration with IBM Watson and third-party LLMs, ensuring AI agents access relevant, concise, and up-to-date context. This improves performance in tasks like conversational AI, document Q&A, and automated summarization.