An MCP-compliant server that generates images from text prompts using Replicate's model, demonstrating extensibility and protocol adherence in the MCP server ecosystem.
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An MCP server that utilizes Amazon Nova Canvas model for image generation, integrating Amazon Bedrock with MCP-compatible clients.
Bridges Claude with Replicate's flux-schnell image generation model, enabling direct image creation from text prompts within conversations through MCP.
A server connecting to xAI/Grok image generation API, enabling text-to-image creation and integration into creative workflows. Representative of MCP servers for generative AI tasks.
An MCP server that allows users to generate media content with tools like Midjourney, Flux, Kling, and others directly from Claude or any MCP-compatible application.
An MCP server providing image generation capabilities via Replicate's API.
A Model Context Protocol (MCP) server that enhances AI-generated content to sound more natural and human-like, with features like AI detection and text refinement. Highly relevant as an example of an advanced MCP server implementation.
An open-source MCP (Model Context Protocol) server for generating images from text prompts using Replicate's black-forest-labs/flux-schnell model. Designed for extensibility and full protocol compliance, it can be used with any MCP client.
Source: github.com/mikeyny/ai-image-gen-mcp
| Parameter | Type | Required | Default | Description | |---------------------|---------|----------|----------|------------------------------------------------------| | prompt | string | Yes | - | Text prompt for image generation | | output_dir | string | Yes | - | Directory to save generated images | | go_fast | boolean | No | false | Enable faster generation mode | | megapixels | string | No | "1" | Resolution quality | | num_outputs | number | No | 1 | Number of images to generate (1-4) | | aspect_ratio | string | No | "1:1" | Aspect ratio | | output_format | string | No | "webp" | Image format | | output_quality | number | No | 80 | Compression quality (1-100) | | num_inference_steps | number | No | 4 | Number of denoising steps (4-20) |
ISC
mcp image-generation generative-ai open-source replicate