Flux Image MCP Server
Generate images using Replicate's Flux Schnell model.
Flux Image MCP Server
This MCP server provides image generation capabilities using the Flux Schnell model on Replicate.
Installation
- Install the MCP SDK globally:
npm install -g @modelcontextprotocol/sdk@latest
- Clone this repository to your MCP servers directory:
cd ~/Documents/Cline/MCP
git clone https://github.com/yourusername/flux-img-mcp.git
cd flux-img-mcp
npm install
- Build the server:
npm run build
- Add the server configuration to your MCP settings file (either global or workspace):
{
"mcpServers": {
"flux-img": {
"command": "node",
"args": ["/path/to/flux-img-mcp/build/index.js"],
"env": {
"REPLICATE_API_TOKEN": "your-replicate-api-token"
},
"disabled": false,
"alwaysAllow": []
}
}
}
Configuration
The server requires the following environment variable:
REPLICATE_API_TOKEN: Your Replicate API token. You can get this from your Replicate account settings.
Usage
Once installed and configured, the server provides the following tool:
generate_image
Generates an image using the Flux Schnell model based on a text prompt.
Parameters:
prompt(string, required): Text description of the desired image
Example usage:
<use_mcp_tool>
<server_name>flux-img</server_name>
<tool_name>generate_image</tool_name>
<arguments>
{
"prompt": "A beautiful sunset over mountains"
}
</arguments>
</use_mcp_tool>
The tool will return a JSON response containing:
status: The status of the generation requestoutput: The URL of the generated image (if successful)error: Any error message (if failed)
Development
To make changes to the server:
- Modify the source code in
src/index.ts - Rebuild the server:
npm run build - Restart the MCP server for changes to take effect
Error Handling
The server includes comprehensive error handling for:
- Missing API token
- Invalid parameters
- API request failures
- Network issues
Security
- Never commit your Replicate API token to version control
- Always provide the token through environment variables
- The server validates all input parameters before making API requests
Servidores relacionados
Bonnard
Ultra-fast to deploy agentic-first mcp-ready semantic layer. Let your data be like water.
MCP Internet Speed Test
Perform internet speed measurements including download/upload speed, latency, and jitter.
FAIM Time-Series forecasting
Zero-shot Time-Series forecasting with foundation time-series models
Map Traveler
A virtual travel environment for an avatar on Google Maps, utilizing various Google Maps and optional AI image generation APIs.
TwelveLabs
The TwelveLabs MCP Server provides seamless integration with the TwelveLabs platform. This server enables AI assistants and applications to interact with TwelveLabs powerful video analysis capabilities through a standardized MCP interface.
openterms-mcp
Ed25519-signed consent receipts + programmable policy engine for AI agents before they take actions.
Context-Fabric
Corpus search and linguistic analysis for AI Agents
ADM1 MCP Server
Control anaerobic digestion modeling (ADM1) using natural language.
Context Lens
Semantic search knowledge base for MCP-enabled AI assistants
Horoscope MCP Server
Provides daily horoscope readings and fortune telling for all 12 zodiac signs using a horoscope API.