Every October, developers around the world dive into Hacktoberfest — a month of open-source fun, creativity, and collaboration. This time, I decided to go all in: instead of just contributing, I wanted to maintain and grow my own AI-powered projects.
And wow — in just 10 days, the journey has been incredible!
Two of my personal projects, MCP-for-Database and Terminal_CLI_Agent, are already gaining stars, forks, and contributors. Let me take you behind the scenes. 👇
MCP-for-Database — Giving AI a Way to Understand Databases
I’ve always loved building AI systems, but one challenge kept bothering me — AI can’t easily understand databases. You have to manually query data, define schemas, and spoon-feed context.
So, I built MCP-for-Database — a bridge between AI models and your databases, inspired by the Model Context Protocol (MCP).
It allows AI agents to fetch and interpret structured data seamlessly, so they can generate accurate, schema-aware answers.
Features So Far
- Connects any LLM (like OpenAI, Anthropic, or Gemini) to SQL/NoSQL databases
- Fetches schema + metadata for context-aware querying
- Supports RAG pipelines and database-driven assistants
- Makes querying as simple as: “Show me top 10 customers by revenue”
If you’re as excited about this as I am, check it out on GitHub: MCP-for-Database
# Clone it locally
git clone https://github.com/Limeload/mcp-for-database.git
cd mcp-for-database
pip install -r requirements.txt
Why I maintain it?:
Because I want AI agents to interact intelligently with structured data — not just with text. I believe open source can make this capability accessible to everyone, not just big tech companies.
Terminal_CLI_Agent — Talk to Your Terminal Like a Teammate
The second project, Terminal_CLI_Agent, is my take on making the command line a little more... human.
I spend most of my dev life inside the terminal — so I thought, what if I could just tell it what I want in plain English?
That’s exactly what this AI-powered CLI assistant does.
It listens, interprets, executes, and even explains commands.
Current Features
- Natural language → shell command execution
- Integrations with Docker, Git, AWS, etc.
- “Explain mode” that teaches you what each command means
- Extensible architecture — build your own command plugins
Here’s the GitHub repo: Terminal_CLI
# Try it locally
git clone https://github.com/manikonda-rao/terminal_cli_agent.git
cd terminal_cli_agent
python -m src.cli.main
Why I built it?:
Because sometimes, dev life needs a sidekick — one that understands commands, automates boring tasks, and helps you learn on the go.
How You Can Contribute?
Hacktoberfest is all about collaboration, and I’d love to have more contributors join in!
Here’s how you can help:
- Star the repositories to show support
- Fork them to your profile
- Open issues if you find bugs or want to suggest features
- Submit pull requests for fixes, documentation, or enhancements
- Even small contributions — like improving README files or adding test cases — make a huge difference.
If you’re passionate about AI, DevOps, or developer productivity, these projects are a great way to get started.
Final Thoughts
We’re just 10 days into Hacktoberfest 2025, and the energy is unreal.
Maintaining open-source AI projects has already taught me more about documentation, collaboration, and innovation than any tutorial could.
Both MCP-for-Database and Terminal_CLI_Agent started as late-night ideas — but they’re quickly growing into tools that developers can actually use.
So if you’re reading this — jump in, contribute, or even just drop a star. Let’s build smarter AI tools together.
👉 Star, Fork & Start Contributing Today!
Maintainer @shraddharao_
Hacktoberfest 2025 Contributor
This is a submission for the 2025 Hacktoberfest Writing Challenge: Maintainer Spotlight