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Replicate-Flux MCP Server

by newtype-01

A TypeScript-based MCP server for running the Flux AI image generation model on Replicate. It allows simple integration with MCP-compatible applications and customizable image generation parameters.

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What is Replicate-Flux MCP Server?

This is a server that acts as a Model Context Protocol (MCP) server, specifically designed to interface with the Flux AI image generation model hosted on Replicate. It provides a standardized way to generate images using the Flux model through a simple API.

How to use Replicate-Flux MCP Server?

To use this server, you need to install it, configure it with your Replicate API token, and then configure your MCP client (like Claude) to communicate with it. The README provides detailed instructions for installation using npm, npx, or Docker, along with configuration examples for different MCP clients.

Key features of Replicate-Flux MCP Server

  • Generates images using the black-forest-labs/flux-dev model through Replicate

  • Simple integration with any MCP-compatible application (Claude, etc.)

  • Customizable image generation parameters

  • Supports multiple deployment methods (Node.js, npx, Docker)

Use cases of Replicate-Flux MCP Server

  • Integrating Flux AI image generation into existing applications

  • Creating custom image generation workflows

  • Experimenting with different image generation parameters

  • Automating image generation tasks

FAQ from Replicate-Flux MCP Server

What is an MCP server?

An MCP server provides a standardized way for applications to interact with different AI models.

What is Replicate?

Replicate is a platform for running machine learning models in the cloud.

How do I get a Replicate API token?

You can obtain a Replicate API token by creating an account on the Replicate website (https://replicate.com/account).

How do I configure my MCP client to use this server?

The README provides examples of how to configure various MCP clients, such as Claude, to communicate with the Replicate-Flux MCP server.

What if I encounter issues during installation or usage?

Refer to the README for troubleshooting tips, and consider using the MCP Inspector for debugging. You can also consult the Replicate documentation or the Flux AI model documentation for further assistance.