Enhancing Documentation for MCP Servers

This chapter explores the difficulties of enhancing documentation to be user-friendly for both humans and AI systems, like MCP servers. It also highlights the importance of structured information and the challenges in evaluating the MCP server's effectiveness post-implementation.

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Kevin McDonnell and Garry Trinder delve into the world of Model Context Protocol (MCP) and its implications for developers. We start with a starter overview of functionality of MCP and why it is important. However, we wanted to get beyond that initial view that is covered elsewhere and look at some of the challenges associated with using MCP and broader considerations that you need to be looking at. The conversation covers the importance of optimizing documentation for language models, governance in MCP usage, and strategies for getting started with MCP and then scaling.

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