#flux

AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

VAP is an MCP server for AI media generation with cost control. Generate images (Flux2 Pro), videos (Veo 3.1), and music (Suno V5) with deterministic pricing. Features: Pre-commit pricing – Know exact cost before execution Budget enforcement – Reserve → Burn → Refund model Deterministic retry behavior – No runaway costs Production-ready outputs – Normalized to broadcast standards Available tools: generate_image, generate_video, generate_music, estimate_cost, check_balance, get_task, list_tasks Requirements: API key from api.vapagent.com + minimum $1 deposit

Create uncensored, high-quality, watermark-free AI images completely free and unlimited. Powered by the Flux.Dev open-source model, PictoFlux outputs HD results in ~5 seconds with up to 4 images generated in parallel so you can compare and pick the best. Choose from 25+ preset styles, multiple aspect ratios and high-res sizes, no registration required, with quality rivaling GPT-4o and other commercial models.

A fast and powerful MCP (Model Context Protocol) server that brings ImaginePro AI image and video generation capabilities to your AI assistants like Claude, enabling seamless creative content generation through natural language. The available AI models including latest and most advanced ones such as Midjourney, Flux, Nano Banana.

Sunra.ai is a generative media platform built for developers, providing high-performance AI model inference capabilities. It specializes in running diffusion models through production-ready APIs and interactive UI playgrounds.

A Python-based MCP server for SiliconFlow FLUX image generation. 一个基于 Python 的 MCP服务器，用于 SiliconFlow FLUX 图像生成。

Flux Operator is a Kubernetes controller for managing the lifecycle of Flux CD

让AI助手直接分析你的Grafana监控数据 - A Model Context Protocol server for Grafana data analysis

A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.

mcp-neo4j-server-sse-java is an MCP server implemented by Java using SSE (Server-Sent Events) server transport or STDIO transport as the transport protocol.

A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model options.

DiffuGen is a powerful yet user-friendly interface for local\edge image generation. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion models including Flux, SDXL, SD3, and SD1.5. Diffugen also features an OpenAPI Server for API usage and designed to support OpenWebUI OpenAPI Tool use.

mcp server for cloudflare flux schnell worker api.

flux image generation mcp server

MCP server enabling high-quality image generation via Together AI's Flux.1 Schnell model.

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