The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. MCP is a framework for managing interactions between AI models and their context, making it particularly useful for tasks like information extraction. We want to investigate the capability of that tool for an application in our research context.
Develop a versatile system that processes unstructured data from various sources, such as documents, real-time streams, or conversational transcripts, to extract and organize key information into structured, actionable formats. The system should leverage context-aware capabilities to summarize content, identify relationships, track evolving details, and provide users with interactive tools for querying and visualizing insights, while maintaining contextual consistency across multiple inputs.
Technologies: Web Services; Web Applications; MCP; LLMs
Tags: FactCheck; Python; Javascript; Web Application; Web Service; MCP; Hofer