MCP on Simple Enough Blog

MCP Servers: Integration and Ecosystem

Wed, 17 Jun 2026 10:00:00 +0200

In the first article, we laid the groundwork for the Model Context Protocol; in the second, we built a server from end to end. That leaves the question that turns a prototype into an everyday tool: how do you integrate an MCP server into your working environment, reusing the existing ecosystem, without opening a security hole? That’s the subject of this final article.

I. Connecting a server to Claude and Claude Code

In the tutorial, we connected our server to Claude Desktop through claude_desktop_config.json. Claude Code, the command-line assistant, offers an even more direct approach with the claude mcp subcommand:

Tutorial: Building Your First MCP Server in Python

Wed, 10 Jun 2026 10:00:00 +0200

In the first article on Model Context Protocol servers, we laid the groundwork: its host / client / server architecture and its three primitives (tools, resources, prompts). Now for the practical part. In this tutorial, we build a small MCP server in Python from end to end, exposing one tool and one resource, then we connect it to a host to watch a model use it.

I. Prerequisites and installation

You need Python 3.10 or higher. The official SDK also ships a handy command-line utility to test and install a server.

MCP Servers: Understanding the Model Context Protocol

Wed, 03 Jun 2026 10:00:00 +0200

Language models are brilliant at reasoning over text, but by nature they are cut off from the world. A model cannot read your files, query your database, or call an API unless it is explicitly given the means to do so. The Model Context Protocol (MCP) is the standard that solves this problem in a generic way. This first article lays the groundwork; the next ones will dive into building a server and integrating it into an ecosystem.