MCP Server

Brand Image Generation

pf-media-generation

Brand-aligned image generation.

A work in progress

We've published these resources in the hope they're useful — you're welcome to copy or use anything you find on this site. We're still working through each record to optimise it for completeness and accuracy, so some entries are fuller than others for now.

What it does

Brand-aligned image generation. Nine tools each map to a specific visual style and inject the right look before handing off to the image pipeline; two more read the resulting image library.

Tools it exposes

Connects to Image-generation pipeline + the generated-images library. Each tool below is a single, well-defined capability — described in plain language.

Abstract_BackgroundGenerate an abstract or organic background.Connects to: image pipeline
Cartoon_ClaymationGenerate a Claymation scene with the animal personas.Connects to: image pipeline
Comic_StripGenerate one panel of a Claymation comic with dialogue.Connects to: image pipeline
Edit_ImageAdjust an existing generated image from feedback.Connects to: image pipeline
InfographicGenerate a hand-drawn sketch infographic or diagram.Connects to: image pipeline
Leadership_PortraitGenerate a warm documentary-style portrait.Connects to: image pipeline
Nature_and_LandscapeGenerate a lush editorial nature image.Connects to: image pipeline
Product_IdentityGenerate a product logo or icon.Connects to: image pipeline
Typography_OverlayGenerate an image built to hold a quote, title, or statistic.Connects to: image pipeline
List_Generated_ImagesBrowse previously generated images.Connects to: generated_images
Get_Generated_ImageRead the full record of one generated image.Connects to: generated_images

Built and maintained by the MCP agent

This server was built with FastMCP and Python by our MCP agent, to spec. In practice it takes well under thirty minutes of hands-on direction — agents are genuinely good at building these. The value is in the design: each server exposes only the endpoints we want, with clear descriptions and parameters tuned to our goals.

Meet the MCP agent

You don't need all of this to start

Most of what these agents rely on has a simpler equivalent. Anywhere we use a database, you can usually start with a spreadsheet or a document — whatever you're comfortable with. Anywhere we built a custom MCP server, you can reach for a prebuilt AI connector instead of building your own.

We go further because it's where our experience pays off. Years of hands-on database work make a custom data layer feasible for us, and purpose-built MCP servers let us hand each agent a short, sharp instruction file and exactly the tools it needs — custom descriptions, only the endpoints we want, and the occasional extra gate — instead of a long manifesto or playbook. Nothing more, nothing less.

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