Learn MCP with Python

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Learn Model Context Protocol with Python, published by Packt

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What is Learn MCP with Python?

Learn MCP with Python is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to learn model context protocol with python, published by packt

Learn Model Context Protocol with Python, published by Packt

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Learn Model Context Protocol with Python, published by Packt

Use Cases

Learn Model Context Protocol fundamentals through Python.
PacktPublishing

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 16, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx learn-model-context-protocol-with-python

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Learn MCP with Python

This repository accompanies the Packt book 'Learn Model Context Protocol with Python' by Christoffer Noring and contains all hands-on code examples for building MCP servers and clients from scratch in Python. Readers work through 13 chapters covering foundational MCP concepts, tool and resource definitions, Server-Sent Events, HTTP streaming, and production deployment patterns. It is a structured learning resource rather than a deployable production server, designed for developers who want to understand the MCP specification deeply by building working implementations step by step.

Prerequisites

  • Python 3.8 or higher installed
  • Familiarity with HTTP, JSON, and basic networking concepts
  • A code editor such as VS Code (recommended in the book)
  • Access to Claude Desktop or another MCP-compatible client for testing the examples
  • The Packt book 'Learn Model Context Protocol with Python' (the code references chapter structure)
1

Clone the repository

Clone the companion code repository for the Packt book to your local machine.

git clone https://github.com/PacktPublishing/Learn-Model-Context-Protocol-with-Python
cd Learn-Model-Context-Protocol-with-Python
2

Create a virtual environment

Create and activate a Python virtual environment to isolate dependencies for the book examples.

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
3

Install chapter dependencies

Each chapter directory contains its own requirements. Navigate to the chapter you are studying and install its dependencies.

cd chapter-XX
pip install -r requirements.txt
4

Run the MCP Inspector to test a server

The book recommends using the MCP Inspector to interactively test servers as you build them. Run it against the chapter's server file.

npx @modelcontextprotocol/inspector python server.py
5

Connect a chapter server to Claude Desktop

To test a specific chapter's MCP server with Claude Desktop, add it to your config file pointing at the chapter's server entry point.

{
  "mcpServers": {
    "learn-mcp": {
      "command": "python",
      "args": ["/absolute/path/to/chapter-XX/server.py"]
    }
  }
}

Learn MCP with Python Examples

Client configuration

Example claude_desktop_config.json for running a chapter server from the Learn MCP with Python repository.

{
  "mcpServers": {
    "learn-mcp": {
      "command": "python",
      "args": ["/path/to/Learn-Model-Context-Protocol-with-Python/chapter-02/server.py"]
    }
  }
}

Prompts to try

Example prompts to use when testing the chapter servers from the book.

- "List all available tools from the MCP server."
- "Call the echo tool with the message 'Hello MCP'."
- "Fetch the resource at resource://example/info."
- "Use the calculator tool to multiply 42 by 17."
- "Show me the server's available prompts."

Troubleshooting Learn MCP with Python

ImportError when running a chapter server

Make sure you activated the virtual environment ('source .venv/bin/activate') and installed the chapter's requirements ('pip install -r requirements.txt') before running the server.

MCP Inspector shows no tools or resources

Verify you are running the server file from the correct chapter directory. Some chapters build incrementally — run the final server.py in the chapter folder, not an intermediate file.

Claude Desktop does not load the server

Use the absolute path to the server.py file in claude_desktop_config.json. Relative paths are not resolved correctly by Claude Desktop. Also ensure the Python binary path is the one with the installed dependencies.

Frequently Asked Questions about Learn MCP with Python

What is Learn MCP with Python?

Learn MCP with Python is a Model Context Protocol (MCP) server that learn model context protocol with python, published by packt It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Learn MCP with Python?

Follow the installation instructions on the Learn MCP with Python GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Learn MCP with Python?

Learn MCP with Python works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Learn MCP with Python free to use?

Yes, Learn MCP with Python is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "learn-model-context-protocol-with-python": { "command": "npx", "args": ["-y", "learn-model-context-protocol-with-python"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Learn MCP with Python?

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