learn s

This repository provides a learning-oriented MCP server setup intended to teach you how to build MCP-compatible servers for data analysis tasks. The included materials guide non-technical users through installing Python, dependencies, and an MCP host environment, and then running a basic Python-based MCP server. The server demonstrates how to structure an MCP service, expose endpoints for data processing, and integrate with MCP clients for interactive analysis. Use the tools described here to step through examples, run tutorials, and experiment with simple data-analysis tasks in a guided, hands-on way.

Prerequisites:

• Python 3.8+ (recommended)
• pip (comes with Python)
• Git
• Access to a suitable MCP host environment (e.g., VS Code with appropriate extensions or Claude Desktop)

1. Clone the repository:

git clone https://github.com/<owner>/data-goblin-learn-mcp-servers.git
cd data-goblin-learn-mcp-servers

2. Set up a Python virtual environment (optional but recommended):

python -m venv venv
# Windows
venv\Scripts\activate
# macOS/Linux
source venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the MCP server (example):

python -m learn_mcp_server

5. If you need to customize environment variables, copy the example env file (if provided) or set them in your shell before starting the server, for example:

export REQS_FILE=requirements.txt
export LOG_LEVEL=INFO

6. Open your MCP host application (VS Code, Claude Desktop, etc.) and connect to the running server as described in the repo's documentation.

Note: This repository targets learning. Adjust paths and module names if your setup differs, and refer to the Python package/module naming in the project for exact invocation details.

Tips and common issues:

• Ensure Python version compatibility with the dependencies in requirements.txt.
• Use a virtual environment to avoid conflicts with system packages.
• If the server fails to start, check LOG_LEVEL for detailed diagnostics and verify that the module learn_mcp_server exists in your environment.
• Some MCP host applications require specific environment variables or authentication; consult your host’s docs for integration steps.
• If cloning via HTTPS prompts for credentials, ensure your GitHub access is configured; you can alternatively fork/clone and adjust the remote URL as needed.
• This repository is intended for non-commercial, personal use per the license; respect license terms when experimenting.