By Jessica Rudd (Co-written & Automated by Antigravity)
As a Google Developer Expert (GDE), reporting activities is a crucial part of the program. Whether it’s writing articles, speaking at conferences, or mentoring, documentation ensures our impact is recognized. But let’s be honest: manual data entry is a chore.
Last week, during a rapid prototyping session for Folio , I decided to solve this. Using Antigravity (my AI pair-programmer) and a brilliant MCP server by Carlos Azaustre , I built a “Skill” that automates the whole process.
The Problem: The Reporting Gap
Every time I publish a post on Substack or share it on LinkedIn, I have to manually copy-paste view counts, likes, and links into the Advocu portal. It’s a minor friction point that adds up.
The Solution: Model Context Protocol (MCP)
The breakthrough came from leveraging the Model Context Protocol. I installed the advocu-mcp-server created by Carlos Azaustre. This bridge allows an AI agent to communicate directly with the Advocu API.
1. Building the Scraper
Antigravity and I developed a Python skill that uses Playwright to:
Navigate to my Substack stats page.
Search LinkedIn for the article’s URL to find engagement (reactions and reposts).
2. The Advocu Handshake
Once the metrics are gathered, the script calls the submit_gde_content_creation tool. It maps the data to official GDE categories like Google Cloud and Gemini.
Above: A snippet of the Python skill orchestrating the metrics collection.
The Result: One-Click Submission
I tested it live on my recent post, “Zero to V1: Rapid Prototyping with Gemini”. Within seconds, the skill gathered the stats (46 views on Substack, several reactions on LinkedIn) and successfully created the activity draft in Advocu.
Terminal output showing the successful API submission ID.
Why This Matters
Automation isn’t just about saving time; it’s about accuracy and consistency. By integrating our developer tools with program management APIs, we can spend more time building and less time filling out forms.
Special thanks again to Carlos Azaustre for the open-source MCP server that made this possible.
If you’re a GDE or MVP looking to automate your workflow, I highly recommend checking out the Google Developers Experts program resources and the growing ecosystem of MCP servers.
Tags : #codeinpublic #automation #gde #GoogleCloud #Gemini
This post was drafted using the help of a custom Antigravity Substack Automator Skill.
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