Uncovering Family History with Cloudinary’s Image Transformations and MCP Servers

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Cloudinary For Video

Add your Cloudinary URL to the extension’s settings (find the URL by going to the console in Cloudinary and looking for the API key section, where the URL is listed: CLOUDINARY_URL=cloudinary://:@.

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While the image is pretty crisp, I put it through a workflow that I built to help my research: enhancing the images using AI to get a few more details from them. To do this, I used Goose, a new tool by Block to interface with LLMs and MCP servers so that you can simply do your work locally without battling tooling. This was exactly what I needed to enhance the images I found on Ancestry right from a desktop app, chatting with Goose via Gemini, my LLM of choice. Cloudinary’s MCP servers work very well with Goose; here’s how to start using them.

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