Replicate MCP Server for image generation
Replicate MCP Server for image generation. The replicate designer mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 1 defined tool rather than through you.
An MCP server for generating images using Replicate's Flux 1.1 Pro model.
Everything the assistant can do here goes through one of these:
generate_image — The generate_image tool exposed by this serverYou will need one environment variable: REPLICATE_API_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
The server ships on npm as with, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Replicate Designer's toolset — generate_image — is a fair guide to whether it matches your workflow. It is maintained by noeltg77; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Replicate Designer's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| generate_image | The generate_image tool exposed by this server. |
{
"mcpServers": {
"replicateDesigner": {
"command": "npx",
"args": [
"-y",
"github:yourusername/replicate-designer"
],
"env": {
"REPLICATE_API_TOKEN": "your_replicate_api_token_here"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| REPLICATE_API_TOKEN | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.