Multi-Modal MCP Servers: Handling Files, Images, and Streaming Data

The Model Context Protocol (MCP) represents a standardized approach to enabling communication between AI language models and external data sources. Current MCP implementations predominantly focus on text-based request-response interactions, limiting their applicability to scenarios requiring rich media handling and real-time data processing capabilities. Increasing demand for AI systems capable of processing diverse data modalities necessitates the extension of MCP server architectures beyond traditional text-only paradigms.