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Replicate Flux MCP

MCP Server

Generate raster and SVG images via Replicate models

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Updated 21 days ago

About

An MCP server that lets AI assistants create high‑quality raster images with Flux Schnell and vector graphics with Recraft V3 SVG through the Replicate API. It supports natural language prompts, batch and variant generation.

Capabilities

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

MCP Server Demo

Overview of Replicate Flux MCP

Replicate Flux MCP bridges the gap between AI assistants and cutting‑edge image generation models hosted on Replicate. By exposing Black Forest Labs’ Flux Schnell for raster imagery and Recraft’s V3 SVG for vector graphics through the Model Context Protocol, this server lets developers ask an assistant to create polished visuals without leaving their existing workflow. The result is a unified interface where natural language prompts translate directly into high‑quality images, ready for use in design documents, marketing assets, or interactive applications.

The server’s value lies in its abstraction of complex model calls. Developers no longer need to manage API keys, construct payloads, or handle post‑processing; the MCP server encapsulates all of that. An assistant simply calls a tool like or , and the server forwards the request to Replicate, retrieves the result, and returns it in a format that the assistant can embed or display. This eliminates boilerplate code and reduces latency, allowing rapid iteration on visual concepts.

Key capabilities include:

  • Dual‑model support: Raster images via Flux Schnell and SVG vectors via Recraft V3, giving creators flexibility for print or scalable web graphics.
  • Parameter customization: Users can tweak prompts, image size, and other model‑specific settings directly from the assistant interface.
  • Batch and variant generation: The server can spawn multiple images or generate variations of a single prompt, streamlining creative workflows.
  • Seamless integration: Compatibility with popular MCP clients such as Cursor, Claude Desktop, Smithery, and Glama.ai ensures that the server can be dropped into existing toolchains with minimal configuration.

Real‑world scenarios benefit from this setup: a marketing team can generate campaign banners on demand, a UI designer can prototype icons in SVG format, and an educator can produce illustrative diagrams for lesson plans—all by issuing simple natural‑language commands to their assistant. The MCP server’s lightweight TypeScript implementation and MIT license make it easy to extend or embed in custom applications, while the built‑in security badge signals adherence to best practices for handling sensitive API credentials.

In summary, Replicate Flux MCP provides developers with a powerful, protocol‑compliant bridge to state‑of‑the‑art image generation models, streamlining visual content creation and enabling richer AI‑driven workflows.