MCP for Replicate Flux Model
MCP for Replicate Flux Model
generate_image — Generates an image based on a text prompt using the configured image model (allowlist only).generate_multiple_images — Generates multiple images based on an array of prompts using the configured image model (allowlist only).generate_image_variants — Generates multiple variants of the same image from a single prompt using the configured image model (allowlist only).generate_svg — Generates SVG/vector output based on a text prompt using the configured SVG model (allowlist only).prediction_list — The prediction_list tool exposed by this server.get_prediction — The get_prediction tool exposed by this server.run_model — Runs a whitelisted Replicate model with a raw input payload (useful for video or restoration models).run_replicate_model — Runs any model hosted on Replicate by its owner/name[:version] reference. Use this as an escape hatch when none of the curated tools fit. Call get_model_schema first if you don't know the input shape.get_model_schema — Fetches the OpenAPI input schema and description for a Replicate model so you can pass the right parameters to run_replicate_model.imagelist — Browse your history of generated images created with the configured image model.svglist — Browse your history of generated SVG outputs created with the configured SVG model.predictionlist — The predictionlist tool exposed by this server.Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| generate_image | |
| generate_multiple_images | |
| generate_image_variants | |
| generate_svg | |
| prediction_list | |
| get_prediction | |
| run_model | |
| run_replicate_model | |
| get_model_schema |
{
"mcpServers": {
"replicate-flux-mcp": {
"command": "env REPLICATE_API_TOKEN=YOUR_TOKEN npx",
"args": [
"-y",
"replicate-flux-mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
SWI-Prolog as a "logic calculator" for LLMs — available as an MCP server and a Python library. Eliminate the black box from LLM logical reasoning.
Uses Stable Diffusion (ForgeUI/Automatic-1111) API instead of together ai.
MCP Server that exposes Creatify AI API capabilities for AI video generation, including avatar videos, URL-to-video conversion, text-to-speech, and
Message Communication Protocol server for json2video API integration