The field of natural language processing is witnessing significant advancements with the integration of Model Context Protocol (MCP) and Large Language Models (LLMs). Researchers are exploring the potential of MCP to enhance the capabilities of LLMs, enabling them to interact with external tools and services more effectively. This has led to the development of new frameworks, benchmarks, and security protocols to support the growth of MCP-enabled LLMs. Notably, the focus is on improving the security and robustness of MCP agents, as well as their ability to navigate complex environments and orchestrate multiple tools. The integration of MCP with other technologies, such as blockchain, is also being investigated to create more dynamic and context-aware interactions. Overall, the field is moving towards creating more capable and efficient LLMs that can leverage the power of MCP to provide more accurate and informative responses. Noteworthy papers include: The 3rd Place Solution of CCIR CUP 2025, which introduces a framework for retrieval-augmented generation in multi-turn legal conversation. MCP Security Bench, which presents a comprehensive security analysis of the MCP ecosystem and proposes practical defense strategies. Model Context Contracts, which enables LLMs to interact directly with blockchain smart contracts through an MCP-like protocol.