MCP_Server

ThomasJanssen-tech/MCP_Server

3.2

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The Model Context Protocol (MCP) server is a framework designed to facilitate the integration and interaction of machine learning models with various applications and platforms.

Build an MCP Server with Python

Watch the full tutorial on my YouTube Channel

Prerequisites

  • Python 3.13

Installation

1. Install UV

On Windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

On MacOS/Linix:

curl -LsSf https://astral.sh/uv/install.sh | sh

More info: https://docs.astral.sh/uv/getting-started/installation/

2. Download Claude Desktop

Download Claude Desktop here: https://claude.ai/download

3. Clone the repository:

git clone https://github.com/ThomasJanssen-tech/MCP_Server
cd MCP_Server

4. Add Bright Data API Key

  • Get your $15 Bright Data credits: https://brdta.com/tomstechacademy
  • Rename the .env.example file to .env
  • Add your Bright Data API key

Configure Claude Desktop

In the project directory, now run the following command to automatically configure Claude Desktop, where main.py is the name of your MCP Server Script.

uv run mcp install main.py

Executing the scripts

  • Open a terminal in VS Code

  • Execute the following command:

uv run download_data.py
uv run ingest_data.py

Start asking questions to Claude Desktop

You can now ask questions to Claude Desktop about companies listed on Crunchbase!

Further reading

  • https://github.com/modelcontextprotocol/python-sdk