Summary. I explore the Model Context Protocol as a standard way to provide AI agents with tools and real-time data. I demonstrate how this protocol connects various systems, such as Business Central and legal databases, to enhance the reasoning and accuracy of models like Claude Code.

What the posts say

The Model Context Protocol improves how AI agents plan and reason.

“Model Context Protocol (MCP) is a framework designed to enhance the reasoning and planning capabilities of AI agents.” — Model Context Protocol (Part 1)

The server provides a standard way for AI clients to access specific tools.

“A: A small program that offers tools to an AI client in a standard way.” — Model Context Protocol (Part 2)

The usefulness of a tool depends on the description provided to the model.

“A tool you add, like multiplication, is only as useful as the description the model sees.” — Model Context Protocol (Part 1)

The MCP tool uses a docstring to describe its purpose to the AI model.

“The function's docstring — the triple-quoted string directly below its definition — is not a comment for human readers only; MCP clients, including Claude Code, read it directly and show it to the AI model as the description of what this tool does and when to use it, which is why it is written as a clear, complete sentence rather than a terse label.” — Model Context Protocol (Part 3)

The MCP tools are thin wrappers that call the exact same functions as the REST API.

“All three are thin wrappers calling the exact same functions the REST API and the frontend call — same skill, multiple interfaces.” — Agentic AI for Professionals (Part 3)

The server provides live data from the company even though the tools are read-only.

“The server exposes its pages as read-only tools, but they still return live data from your company.” — Model Context Protocol (Part 4)

The Azure Functions MCP extension simplifies the process of turning a Python function into a tool.

“I chose an Azure Function, because the Functions MCP extension turns a Python function into an MCP tool with one decorator.” — Azure Foundry Agent (Part 3)

Context7 fetches real-time documentation to reduce errors from stale knowledge.

“Context7 is a Model Context Protocol (MCP) server that fetches real-time, version-specific documentation and injects it into Claude's context, helping to reduce errors from stale knowledge.” — Claude Code (Part 7)