"Flux" matching MCP servers:

Enables AI assistants to generate high-quality images using SiliconFlow's Flux model through the Model Context Protocol, supporting multiple resolutions and customizable parameters.

Enables AI agents to price, deploy, pay for, monitor, update, and cancel applications on a decentralized cloud using a generated key pair, with plain-language specs converted into validated network specifications. Also provides container logs, live instance stats, and network or pricing guidance as read-only tools.

Read-only MCP server exposing Flux-2 Online's image generation knowledge surface, including styles, pricing, FAQ, and official links, with no API key required and ~50 ms cold start.

Execution control layer for AI agents - Reserve, execute, burn/refund pattern for media generation

AI image generation with 6 Flux models (flux-dev, flux-pro, flux-kontext) including context-aware image editing, async task management, and built-in model guide.

MCP server for space weather and HF propagation conditions — live solar flux, Kp index, DSCOVR solar wind, X-ray flux, alerts, 27-day forecast, and band-by-band outlook through any MCP-compatible AI assistant.

A comprehensive MCP server for interacting with the Civitai API to search models, browse images with generation prompts, and manage downloads. It features extensive support for various base models like SDXL and Flux, includes NSFW filtering, and provides automated download commands for ComfyUI.

Enables AI agents to read RSS/Atom feeds, extract web page content as text or Markdown, search the web, and batch-fetch multiple URLs without building custom crawlers.

Enables AI agents to delegate scoped tasks across multiple providers like Codex, Claude Code, and Antigravity through a single local MCP server, with quota monitoring, notifications, and remote control via messaging apps.

Enables AI image and video generation using Segmind's API with 30+ models including FLUX, Stable Diffusion XL, and more, accessible through any MCP-compatible AI assistant.

Enables querying Swift codebases as a knowledge graph, with hybrid semantic and structural search, type hierarchy, public API inspection, and code analysis through MCP tools.

Predicts CRISPR gene dependencies and drug targets by integrating literature, regulatory/PPI networks, and genome-scale metabolic models.

Enables AI assistants to control Unreal Engine through a native C++ Automation Bridge plugin.