A FastMCP server implementation for the Replicate API, providing resource-based access to AI model inference with a focus on image generation.
mcp-server-replicate is an MCP project maintained in the gerred/mcp-server-replicate repository. The maintainer describes its purpose as “A FastMCP server implementation for the Replicate API, providing resource-based access to AI model inference with a focus on image generation”. Read the project documentation for the complete scope.
The project provides a local client configuration using uv. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
The example declares REPLICATE_API_TOKEN. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"replicate": {
"command": "uv",
"args": [
"tool",
"run",
"mcp-server-replicate"
],
"env": {
"REPLICATE_API_TOKEN": "YOUR_REPLICATE_API_TOKEN"
},
"cwd": "$PATH_TO_REPO"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| REPLICATE_API_TOKEN | Declared in the maintainer’s client configuration. | Check documentation |
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.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
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.