Replicate Flux MCP
by awkoy
Replicate Flux MCP is an advanced Model Context Protocol (MCP) server that allows AI assistants to generate high-quality images and vector graphics. It leverages Black Forest Labs' Flux Schnell and Recraft's V3 SVG models via the Replicate API.
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What is Replicate Flux MCP?
Replicate Flux MCP is an MCP server that enables AI assistants to generate images and vector graphics using the Replicate API. It utilizes the Flux Schnell model for raster images and the Recraft V3 SVG model for vector graphics.
How to use Replicate Flux MCP?
To use Replicate Flux MCP, you need a Replicate API token. Integrate the server with your preferred MCP client (Cursor, Claude Desktop, Smithery, or Glama.ai) by following the setup instructions for each client. Then, ask your AI assistant to generate an image or SVG, specifying the desired parameters.
Key features of Replicate Flux MCP
High-Quality Image Generation
Vector Graphics Support
AI Assistant Integration
Advanced Customization
Universal MCP Compatibility
Batch Processing
Variant Exploration
Prompt Engineering
Use cases of Replicate Flux MCP
Generating images from text prompts
Creating vector graphics for design projects
Integrating image generation into AI assistants
Exploring different image styles and variations
Automating image creation workflows
FAQ from Replicate Flux MCP
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a standard that allows AI assistants to interact with external tools and resources, enabling them to perform more complex tasks.
How do I get a Replicate API token?
How do I get a Replicate API token?
Sign up for an account at Replicate.com and create an API token in your account settings.
What models are used for image and SVG generation?
What models are used for image and SVG generation?
The server uses Black Forest Labs' Flux Schnell model for image generation and Recraft's V3 SVG model for vector graphics.
What MCP clients are supported?
What MCP clients are supported?
The server is compatible with all MCP clients, including Cursor, Claude Desktop, Cline, and Zed. It also has integrations with Smithery and Glama.ai.
How can I customize the image generation process?
How can I customize the image generation process?
You can customize the image generation process by adjusting parameters such as aspect ratio, quality, resolution, number of inference steps, and prompt variations. Refer to the documentation for each tool for available parameters.