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PromptShopMCP

MCP Server

Transform images with natural language prompts

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Updated 12 days ago

About

A Model Context Protocol server that lets users generate and edit photos using text commands, powered by Google Gemini, remove.bg for background removal, and FreeImage.host for sharing.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Image Toolkit MCP Server in Action

The Image Toolkit MCP Server turns natural‑language image requests into powerful visual transformations, enabling developers to embed sophisticated photo editing and generation capabilities directly inside AI‑driven workflows. By leveraging Google Gemini for image creation, the remove.bg API for background extraction, and FreeImage.host for hosting, this server acts as a single, cohesive endpoint that can be called from any MCP‑compatible assistant—Claude, Llama, or others.

At its core, the server solves a common bottleneck in AI application development: image manipulation without bespoke code. Instead of writing separate scripts for each task—generating a new illustration, adding elements to an existing photo, or stripping backgrounds—a developer can simply issue a concise prompt like “add a coat to the dog” and let the server orchestrate the underlying calls. This streamlines rapid prototyping, reduces maintenance overhead, and keeps visual assets under version control through the server’s resource management layer.

Key capabilities include:

  • Text‑to‑Image generation via Gemini, allowing assistants to produce fresh visuals on demand.
  • Conditional image modification, where an existing file is altered according to a natural‑language directive (e.g., “add a hat”).
  • Background removal using remove.bg, which is essential for compositing or creating transparent assets.
  • Automatic hosting on FreeImage.host, giving each output a shareable URL without manual uploads.
  • Resource tracking, ensuring every generated or uploaded image is catalogued and retrievable for future reference.

Typical use cases span creative content creation, e‑commerce mockups, educational material generation, and rapid UI prototyping. For instance, a design assistant can generate product variants on the fly, while a marketing bot can produce tailored imagery for campaigns—all without leaving the chat interface. The server’s integration with MCP means it can be invoked as a tool, automatically detected by the agent, and its output seamlessly injected back into the conversation or downstream processes.

What sets this MCP apart is its end‑to‑end approach: a single protocol‑compliant server that handles generation, editing, background removal, and hosting in one call. Developers benefit from reduced API churn, unified error handling, and a clean separation of concerns—keeping their application logic focused on intent rather than image pipeline plumbing.