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Unlocking Financial Insights with Gemini CLI and MCP Servers The world of finance is complex, volatile, and often intimidating. From deciphering market trends to evaluating individual stocks, making informed investment decisions can feel like a full-time job. What if you could have a tireless, intelligent assistant by your side, sifting through data, analyzing performance, and even offering strategic insights? Good news: Google recently launched the  Gemini CLI  open source agent. There is a generous usage tier available for free - "60 model requests per minute and 1,000 requests per day at no charge". With the power of Google's Gemini CLI and a custom setup of Model Context Protocol (MCP) servers, that future is not only possible, it's within your reach right now. Forget expensive subscriptions or black-box algorithms – we're talking about building your own sophisticated AI investment advisor. The Brains Behind the Brawn: Gemini CLI Meets MCP At the heart of thi...

If someone told me that “vibe coding” would be a thing someday, I would have laughed it away. But, here we are. Agentic AI is already starting to change the way we interact with AI. One can think of vibe coding as an “agentic” way of developing software. Let’s see how one can “vibe code” an Agentic AI application. Tools of the Trade No pun intended, here are the developer tools one could use. The Cloud Editor in Google Cloud Shell. This editor is similar in look and feel to VS Code. So, the application development can now happen entirely in the cloud, without installing anything on the laptop. Install the Roo Code extension  in the Cloud Shell Editor and configure it to use Gemini 2.0 Flash. You will have to create an API Key and set it up, as shown below. Lastly, we will use Google Agent Development Kit  (ADK) framework to create an agentic application. Once the Roo extension is installed, developer can use it in different modes such as - Architect, Code, Ask, Debug etc. Fo...