Servers implementing the Model Context Protocol (MCP) to enable advanced, tool-augmented, and multi-modal LLM interactions.
More about MCP (Model Context Protocol) Servers
MCP (Model Context Protocol) Servers are specialized servers that implement the Model Context Protocol (MCP). MCP is an emerging standard designed to facilitate complex, multi-modal, and tool-augmented large language model (LLM) interactions over a standardized API.
MCP servers manage interactions between LLMs and external tools, databases, plugins, or services, enabling features like retrieval-augmented generation, plugin integrations, and seamless orchestration of multiple data sources. By providing a common protocol, MCP servers enhance interoperability and scalability for advanced AI applications.
MCP-based solutions are often used in systems that require retrieval-augmented generation (RAG), external knowledge bases, and complex retrieval augmentation pipelines.
