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.

SnatchBot is an AI-driven platform that allows businesses and developers to create responsive chatbots for various applications, including customer support, lead generation, and user engagement. It enables seamless integration with messaging apps, websites, and CRM systems, promoting efficient communication and 24/7 customer assistance. With a user-friendly interface, SnatchBot offers robust analytics features to track interactions, improving user experience and optimizing chatbot performance.