Which integrations are available for this server?

Allows users to clone and use the repository for learning MCP server development. Provides integration for account setup and repository management required for the MCP learning process. Enables users to build MCP servers for data analysis tasks using Python as the implementation language.

How do I use MCPDataAnalytics?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCPDataAnalytics how do I start building a data analysis MCP server?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Teach MCP - Learning to make MCP servers for data analysis tasks

The purpose of the repo is to teach you how to make MCP servers. The target audience are non-technical with no real coding experience.

You must be able to:

Download and install:
- Python and the dependencies in requirements.txt.
- An MCP host application like VS Code or Claude Desktop. Licenses/subscriptions may apply.
- Git, to be able to clone and use this repo.
  - You will need a GitHub account.
  - You should set up Git for use with VS Code.
Be able to read and understand the basic technical concepts as I explain them. You might need to consult with other resources.
- GitHub tutorial for beginners.
- Anthropic MCP docs.
- VS Code docs.
- Python docs.
Be patient with me. This is the first time I'm teaching something based in Python. I'm putting this out there for free.

License

This repo uses a custom non-commercial license.

You are permitted to use the contents of this repo and derivatives thereof for non-commercial, personal use only. Please enjoy the materials, but also please respect my intellectual property rights.

AI References

The code and samples in this repo was created with assistance from Claude Opus 4.0 and Claude Sonnet 4.0.
The docs in this repo were created with assistance from Gemini 2.5 Pro.
No AI was used in the creation of creative materials or content.

Disclaimer

I do not consider myself an "AI Expert". I am trying to just share what I learned because I find it useful and interesting. The code, information, and examples in this repo are provided as-is without any warranties or guarantees. You are responsible for your own due-diligence and the code you execute or the information that you consume. Nothing I provide should be taken as advice in an official capacity.

Be critical. Be skeptical. Be humble.