Blogging with Generative AI and MCP This entry marks my inaugural attempt at utilizing voice typing to develop my blog. Given the extensive discourse regarding the benefits of generative AI, I have decided to explore this field by learning to build Model Context Protocol (MCP) servers—an open standard that connects AI models and agentic applications to various data sources and tools. I am particularly interested in integrating these with my Gemini Pro and Anthropic’s Claude subscriptions.
While many struggle to fully apply these capabilities to daily routines, graphical user interfaces (GUIs) are only beginning to incorporate features that command-line interfaces (CLIs) have adopted much more rapidly. Professional Productivity Milestones Professionally, I have already seen significant success: Efficiency: Developed custom agents that automated approximately three days of work in just four hours. Automation: Automated this blog using the Gemini CLI. I now use Google Sheets to manage slugs and headlines, linked to Google Docs, with posts scheduled for nightly publication at 2:00 a.m.. Personal Lab and Goals At a high level, I maintain a virtualization system in my home office capable of running multiple Docker containers and pods. I seek to harness subscriptions from LLM providers like Anthropic and Google to automate my personal life and share that knowledge with others.
The reality is that if I don’t learn to harness generative AI, I risk becoming like a caveman looking at a power tool with amazement but no ability to use it. I want to leverage these technologies to their fullest potential. Future Objectives Moving forward, I will document my journey in: Building MCP servers and hosting them on Docker pods. Harmonizing Gemini and Claude to keep token costs low while utilizing their unique capabilities. Professional advancement by utilizing cloud technologies to assist others in their careers.
As I continue to build, I will document insights on harmonizing these capabilities. My findings suggest that Google Gemini is exceptionally proficient at research and scouring the internet for specific details, effectively leveraging the power of the web. While Claude is also capable, it truly excels in software development. Gemini Pro produces competent code, but Claude frequently surpasses it with “one-shot” deployment confidence, whereas Gemini often requires additional guidance. Consequently, I have adopted a strategy of utilizing Gemini for research and Claude for coding, orchestrating both to maximize my professional productivity.
