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AI Agents with MCP
book

AI Agents with MCP

by Kyle Stratis
September 2026
Intermediate to advanced
350 pages
10h 3m
English
O'Reilly Media, Inc.
Content preview from AI Agents with MCP

Chapter 4. MCP Clients: Advanced Use and Best Practices

In Chapter 3, you learned how to build a client that supported the server primitives: tools, resources, and prompts. You learned a standard architecture for building clients and how to manage stdio and Streamable HTTP connections. To round out your client-building knowledge, this chapter will show you how to provide the server with client-based capabilities, use OAuth to allow servers to authorize your client users, and build for various models and model providers. You will also learn how to discover servers with the MCP Registry, connect to multiple servers, manage your context window with context engineering, and follow best practices for building your client.

Providing MCP Client Capabilities

This section introduces the use of callback functions to provide client capabilities to the connected MCP server. A client can provide a server with three major capabilities: sampling, where the server is able to request chat completions from the LLM the client is connected to via the client; roots, which indicate to servers what areas in the host application’s filesystem the server has access to; and elicitations, which allow the connected server to request information from the user.

Warning

Roots, sampling, and logging are all in the process of being deprecated in the specification and in the official SDKs, as server-initiated requests are no longer in the specification. They are still covered here so that you can support older ...

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Publisher Resources

ISBN: 9798341639546Errata Page