Fluxmcp by Acedatacloud is an MCP server that bridges AI assistants with the Flux AI models and platform. It enables AI image generation and editing capabilities. Written in Python and distributed via PyPI, Fluxmcp provides callable tools for various creative tasks. This tool connects AI clients like Claude and ChatGPT to powerful image manipulation functions, supporting both local and remote deployments. It extends AI assistant functionality for visual content creation.

What does Fluxmcp connect to?

Fluxmcp connects directly to the Flux AI models and platform provided by Acedatacloud. It operates as a Model Context Protocol (MCP) server, specifically designed for AI image generation and editing. This server acts as a crucial link, bridging various AI assistants with the specialized capabilities of the Flux platform. Its core function is to extend AI assistant functionality into the domain of visual content creation and modification.

Core features and tools

Fluxmcp exposes several callable tools for AI image manipulation. These include flux_generate_image for creating AI images from text prompts and flux_edit_image for modifying existing images. Users can list available models with flux_list_models and discover tools using flux_list_actions. Task management is handled by flux_get_task for single queries and flux_get_tasks_batch for multiple tasks. Additional capabilities mentioned include fluxmcp_vary_image and fluxmcp_generate_video.

Who is it for?

Fluxmcp is intended for developers and AI assistants seeking to integrate AI image generation and editing into their applications. It supports popular AI clients such as Claude, Cursor, JetBrains AI Assistant, VS Code, ChatGPT, and Gemini. The program extends the capabilities of these assistants by providing direct access to image creation and manipulation functions. Skip this if you require a Go-based, statically compiled binary distributed via Homebrew, as this project is Python-based.

How to get started

The server authenticates using Bearer token authentication for direct HTTP requests, or through an OAuth login flow for Claude.ai. It supports stdio for local use and HTTP for remote or cloud deployments as transport protocols.

Use cases

Fluxmcp supports a range of workflows for AI-driven visual content creation and modification. Its capabilities extend to both static images and video generation, offering diverse applications for developers and AI assistants. Specific uses include:

• Generating AI images from text prompts.
• Editing existing images with context-aware Flux models.
• Tracking asynchronous image generation tasks and querying their status.

Fluxmcp by Acedatacloud offers a Python-based MCP server for AI image and video generation and editing. It connects AI assistants to the Flux platform, providing tools for creative visual tasks. Authentication uses API tokens or OAuth, supporting stdio and HTTP transports. This tool is valuable for developers integrating advanced AI image capabilities.