Today I dropped into the GitHub Open Source Friday event — super chill vibe, lots of curious minds, and great convos. Here’s what stood out from my short but insightful session:

🚀 MCP Server Setup in VS Code

During today’s Open Source Friday, I came across a super insightful walkthrough on setting up an MCP (Model Context Protocol) server and integrating it with VS Code.

🎥 Video reference: MCP + VS Code Setup – GitHub Open Source Friday

🧰 Key Things I Learned:

  • MCP (Model Context Protocol) enables structured interaction and orchestration between various tools, models, and environments
  • Works cleanly with VS Code tasks and launch configurations for debugging and rapid iteration
  • Can be used to manage workflows across multiple AI components or environments

💡 Why it matters:

This setup is powerful for:

  • Structuring modular AI workflows
  • Integrating LLMs into dev environments with fine-grained control
  • Building agentic systems that need consistent shared context

I’m planning to test this for a future project where different components (retrievers, agents, toolchains) are orchestrated via MCP.

📘 AstroDocs – Beautiful Documentation Engine

One of the discussions in OSF today surfaced a great question: “What are some modern tools for documentation besides Docusaurus?”

Someone suggested AstroDocs — and I was genuinely impressed.

  • Markdown-first with pluggable components
  • Built-in SEO optimization, performance tuned
  • Simple to start, powerful when extended

I plan to set up a custom docs space using Astro to document my LLM experiments and infrastructure notes. Hoping to pair this with a blog-style changelog for weekly learnings.

🌐 Bonus Find: Browserbase for Agent Browsing

Unrelated to OSF but worth noting — I explored Browserbase, a programmable, headless browser environment.

🎥 Browserbase Explained

  • Lets you control browsers securely via API
  • Enables autonomous agents to browse, click, read, and act
  • Useful for search agents, research bots, or retrieval pipelines

Planning to integrate this with an LLM agent that can:

Browse search results, summarize content, and log insights autonomously.

Very excited to prototype this with MCP + Browserbase. #Integrating Playwright with OpenAI —