Replicate Designer
About
Generate images using Replicate's Flux 1.1 Pro model.
Details
- Author
- noeltg77
- Categories
- Cloud Service, AI, Other, Design
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Setup
Install Replicate Designer in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/noeltg77/Replicate-Designer
Follow the installation instructions in the repository README, then restart your MCP client.
An MCP server for generating images using Replicate's Flux 1.1 Pro model.
You can use the MCP server directly from GitHub in several ways:
pip install git+https://github.com/yourusername/replicate-designer.git
Option 2: Use npx with GitHub repository
Create a configuration file (e.g.,mcps.json):
{ "mcpServers": { "replicateDesigner": { "command": "npx", "args": [ "-y", "github:yourusername/replicate-designer" ], "env": { "REPLICATE_API_TOKEN": "your_replicate_api_token_here" } } } }
Then use it with Claude or another assistant:
npx @anthropic-ai/assistant --mcps-json mcps.json
This method allows you to include your Replicate API token directly in the configuration file, which is more convenient than setting environment variables separately.
Clone the repository and install from the local directory:
git clone https://github.com/yourusername/replicate-designer.git cd replicate-designer pip install -e .
To make your MCP available via npm (for easier distribution):
# Build a wheel pip install build python -m build # Publish to npm (after setting up an npm account) npm init npm publish
- Then users can install and use it directly:
There are several ways to provide your Replicate API token:
-
Environment variable(for command line usage):
export REPLICATE_API_TOKEN=your_api_token_here
In the MCP configuration file(as shown in Option 2 above):
{ "mcpServers": { "replicateDesigner": { "command": "...", "args": ["..."], "env": { "REPLICATE_API_TOKEN": "your_replicate_api_token_here" } } } }
Using a .env filein your project directory:
Then, install the python-dotenv package:
Security Note: Be careful with your API tokens. Never commit them to public repositories, and use environment variables or secure secret management when possible.
By default, it runs in stdio mode which is compatible with npx use. You can also run it in SSE mode:
mcp-replicate-designer --transport sse --port 8000
This MCP can be used with an AI agent using npx in two ways:
npx @anthropic-ai/assistant --mcp mcp-replicate-designer
{ "mcpServers": { "replicateDesigner": { "command": "npx", "args": [ "-y", "mcp-replicate-designer" ] } } }
npx @anthropic-ai/assistant --mcps-json /path/to/your/config.json
Generates an image using Replicate's Flux 1.1 Pro model.
- prompt(string, required): Text description of the image to generate
- aspect_ratio(string, optional, default: "1:1"): Aspect ratio for the generated image
- output_format(string, optional, default: "webp"): Format of the output image
- output_quality(integer, optional, default: 80): Quality of the output image (1-100)
- safety_tolerance(integer, optional, default: 2): Safety tolerance level (0-3)
- prompt_upsampling(boolean, optional, default: true): Whether to use prompt upsampling
{ "prompt": "A photograph of an humanoid AI agent looking sad and in disrepair, the agent is sat at a workbench getting fixed by a human male", "aspect_ratio": "1:1", "output_format": "webp" }
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