MCP Server for interacting with public models on Replicate. Written in TypeScript, Node and Hono.dev
Replicate MCP Server
Lightweight MCP server for AI image generation and editing using Replicate's official models.
Author: overment
Overview
This is a focused, minimal MCP server designed specifically for image generation workflows. Unlike full-featured Replicate MCP Servers, this server exposes only what's needed for image generation and editing with official models like Flux, SDXL, and Seedream.
Recommended usage: Tell your assistant upfront which model you prefer and any specific settings (quality, aspect ratio, style). This reduces tool calls and gets better results faster.
Example system prompt addition:
For image generation, use black-forest-labs/flux-schnell with 16:9 aspect ratio unless I specify otherwise.
Notice
This repo works in two ways:
- As a Node/Hono server for local workflows
- As a Cloudflare Worker for remote interactions
Features
- Search Models — Find image generation models with full input schemas
- Generate Images — Run predictions and get results with expiring URLs
- Lightweight — Only 2 tools
- API Key Auth — Simple Bearer token or X-Api-Key header authentication
- Dual Runtime — Node.js/Bun or Cloudflare Workers
Design Principles
- LLM-friendly: Two focused tools, not 1:1 API mirrors
- Schema-aware: Search returns input schemas so agent knows exact parameters
- Secure: Replicate API key stored as secret, clients use separate bearer token
- Clear feedback: Model parameters, generation time, markdown-ready output
Installation
Prerequisites: Bun, Replicate Account.
Ways to Run (Pick One)
- Local Development — Standard setup with bearer token auth
- Cloudflare Worker (wrangler dev) — Local Worker testing
- Cloudflare Worker (deploy) — Remote production
1. Local Development — Quick Start
-
Get Replicate API token:
- Visit replicate.com/account/api-tokens
- Create a new API token
- Copy the token (starts with
r8_)
-
Configure environment:
cd replicate-mcp
bun install
cp env.example .env
Edit .env:
PORT=3000
# Generate with: openssl rand -hex 32
API_KEY=your-random-auth-token
# Replicate API Token (from replicate.com)
REPLICATE_API_TOKEN=r8_your_token_here
- Run:
bun dev
# MCP: http://127.0.0.1:3000/mcp
Claude Desktop / Cursor:
{
"mcpServers": {
"replicate": {
"command": "npx",
"args": ["mcp-remote", "http://localhost:3000/mcp", "--transport", "http-only"],
"env": { "NO_PROXY": "127.0.0.1,localhost" }
}
}
}
2. Cloudflare Worker (Local Dev)
bun x wrangler dev --local | cat
Create .dev.vars for local secrets:
API_KEY=your_random_auth_token
REPLICATE_API_TOKEN=r8_your_replicate_token
Endpoint: http://127.0.0.1:8787/mcp
3. Cloudflare Worker (Deploy)
- Create KV namespace for session storage:
bun x wrangler kv:namespace create TOKENS
Output will show:
Add the following to your wrangler.toml:
[[kv_namespaces]]
binding = "TOKENS"
id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
- Update
wrangler.tomlwith your KV namespace ID:
[[kv_namespaces]]
binding = "TOKENS"
id = "your-kv-namespace-id-from-step-1"
- Set secrets:
# Generate a random token for client authentication
openssl rand -hex 32
bun x wrangler secret put API_KEY
# Paste the generated token when prompted
# Replicate API token
bun x wrangler secret put REPLICATE_API_TOKEN
# Paste your Replicate token when prompted
- Deploy:
bun x wrangler deploy
Endpoint: https://<worker-name>.<account>.workers.dev/mcp
Client Configuration
Alice App
Add as MCP server with:
- URL:
https://your-worker.workers.dev/mcp - Type:
streamable-http - Header:
Authorization: Bearer <your-API_KEY>
Claude Desktop / Cursor (Local Server)
{
"mcpServers": {
"replicate": {
"command": "npx",
"args": ["mcp-remote", "http://localhost:3000/mcp", "--transport", "http-only"],
"env": { "NO_PROXY": "127.0.0.1,localhost" }
}
}
}
Claude Desktop / Cursor (Cloudflare Worker)
{
"mcpServers": {
"replicate": {
"command": "npx",
"args": ["mcp-remote", "https://your-worker.workers.dev/mcp", "--transport", "http-only"]
}
}
}
MCP Inspector (Quick Test)
bunx @modelcontextprotocol/inspector
# Connect to: http://localhost:3000/mcp (local) or https://your-worker.workers.dev/mcp (remote)
Tools
search_models
Search for models and get their input schemas. Returns up to 5 models with full parameter details.
// Input
{
query: string; // Model name, task, or keywords
}
// Output
### owner/name
Description of the model
Runs: 1,234,567
Input parameters:
- prompt [REQUIRED]: string
- aspect_ratio: enum: ["1:1", "16:9", "9:16"] = "1:1"
- num_outputs: integer = 1
...
Example:
{ "query": "flux" }
generate_image
Run an image generation model and wait for the result.
// Input
{
model: string; // "owner/name" format
input: Record<string, unknown>; // Model-specific parameters
}
// Output
## Image Generated in 2.3s
Model: black-forest-labs/flux-schnell
Display the image to the user using markdown syntax:

Note: URLs expire in 1 hour.
Common input patterns:
// Text-to-image
{
"model": "black-forest-labs/flux-schnell",
"input": {
"prompt": "a cat on the moon",
"aspect_ratio": "16:9"
}
}
// Image editing
{
"model": "black-forest-labs/flux-kontext-pro",
"input": {
"prompt": "change the sky to sunset",
"image": "https://example.com/source.jpg"
}
}
Popular Models
| Model | Speed | Best For |
|-------|-------|----------|
| black-forest-labs/flux-schnell | ~2s | Quick generations, drafts |
| black-forest-labs/flux-dev | ~10s | Higher quality, detailed |
| bytedance/seedream-4 | ~5s | Versatile, multi-reference |
| black-forest-labs/flux-kontext-pro | ~8s | Image editing with text |
Aspect Ratio Guide
| Ratio | Use Case |
|-------|----------|
| 1:1 | Portraits, icons, profile pictures |
| 16:9 | Landscapes, cinematic, desktop wallpapers |
| 9:16 | Mobile wallpapers, stories, vertical content |
| 4:3 | Classic photo format |
| 21:9 | Ultra-wide cinematic |
HTTP Endpoints
| Endpoint | Method | Purpose |
|----------|--------|---------|
| /mcp | POST | MCP JSON-RPC 2.0 |
| /health | GET | Health check |
Environment Variables
Node.js (.env)
| Variable | Required | Description |
|----------|----------|-------------|
| REPLICATE_API_TOKEN | ✓ | Replicate API token (r8_...) |
| API_KEY | ✓ | Auth token for MCP clients |
| PORT | | Server port (default: 3000) |
| HOST | | Server host (default: 127.0.0.1) |
Cloudflare Workers (wrangler.toml + secrets)
wrangler.toml vars:
[vars]
MCP_TITLE = "Replicate MCP Server"
MCP_VERSION = "1.0.0"
Secrets (set via wrangler secret put):
API_KEY— Random auth token for clientsREPLICATE_API_TOKEN— Replicate API token
KV Namespace:
[[kv_namespaces]]
binding = "TOKENS"
id = "your-kv-namespace-id"
Development
bun dev # Start with hot reload
bun run typecheck # TypeScript check
bun run lint # Lint code
bun run build # Production build
bun start # Run production
Architecture
src/
├── config/
│ └── metadata.ts # Tool descriptions
├── tools/
│ ├── search-models.tool.ts # Search with schema enrichment
│ └── generate-image.tool.ts # Run predictions
├── services/
│ └── api/
│ └── replicate.service.ts # Replicate API client
├── http/
│ ├── app.ts # Hono server
│ └── middlewares/
│ └── auth.ts # API key validation
├── index.ts # Node.js entry
└── worker.ts # Workers entry
Troubleshooting
| Issue | Solution |
|-------|----------|
| 401 Unauthorized | Check API_KEY is set and client sends Authorization: Bearer <token> |
| "REPLICATE_API_TOKEN not configured" | Set secret: wrangler secret put REPLICATE_API_TOKEN |
| "Invalid model format" | Use owner/name format (e.g., black-forest-labs/flux-schnell) |
| "Missing required parameters" | Call search_models to see exact input schema |
| "Rate limit exceeded" | Wait a moment and retry |
| "Image URL expired" | URLs expire after 1 hour — generate again |
| KV namespace error | Run wrangler kv:namespace create TOKENS and update wrangler.toml |
Debugging
Test with MCP Inspector:
bunx @modelcontextprotocol/inspector
# Connect to your endpoint and test tools
Check Worker logs:
wrangler tail
License
MIT