About
A Model Context Protocol server that creates visual content from textual descriptions by leveraging Freepik's Flux AI. It supports multiple aspect ratios, auto-opens images in the browser, and includes robust error handling with retry logic.
Capabilities

Overview
The Freepik Flux AI MCP Server bridges Claude Desktop with Freepik’s Flux AI image generation service, turning natural‑language prompts into high‑quality visual assets. Developers who build creative workflows or content pipelines can now leverage an AI‑driven image generator directly from their Claude assistant without leaving the MCP ecosystem. This eliminates the need for manual API calls or separate image‑generation tooling, streamlining the creative process and enabling rapid iteration on visual concepts.
The server exposes a single resource that accepts a textual description, optional aspect‑ratio parameters, and returns the generated image URL. Because it follows MCP conventions, Claude can invoke the service using a simple tool call, and the assistant can embed or display the resulting image inline. The integration is lightweight: a short JSON payload triggers the Flux AI endpoint, and the server handles authentication, request formatting, and response parsing behind the scenes.
Key capabilities include:
- Text‑to‑Image Conversion – Transform descriptive text into a rendered image using Flux AI’s advanced diffusion model.
- Aspect‑Ratio Flexibility – Choose from a range of width/height ratios to fit different media formats, ensuring the image fits your layout constraints.
- Automatic Browser Launch – After generation, the server can open the image in a web browser for immediate preview, useful during debugging or rapid prototyping.
- Robust Error Handling – Implements retry logic and graceful error reporting so that transient network or service issues do not disrupt the assistant’s workflow.
Typical use cases span content creation, marketing, and design. A copywriter can ask Claude to generate an illustration for a blog post; the assistant calls the MCP server, receives the image URL, and embeds it directly into the draft. A UI designer can prototype multiple layouts by requesting images in different aspect ratios and instantly previewing them. In educational settings, instructors can generate visual aids on demand during live sessions.
By integrating with Claude’s tool invocation model, the Freepik Flux server allows developers to treat image generation as a first‑class citizen in their AI pipelines. Whether building a chatbot that drafts social media graphics or automating asset generation for game development, this MCP server provides a seamless, repeatable path from prompt to pixel.
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