pruna-mcp-server
MCP server for Pruna AI — ultra-fast image generation, editing, upscaling, and video generation directly from your AI assistant.
README
🎨 pruna-mcp-server
MCP server for Pruna AI — ultra-fast image generation, editing, upscaling, and video generation directly from your AI assistant.
Pruna AI is an inference API specialized in image and video generation. It offers sub-2-second image generation starting at $0.005/image, with models for text-to-image, image editing, upscaling, and video generation. This MCP server wraps their API so any MCP-compatible client (Claude Desktop, Kiro, Cursor) can generate visual content natively.
Conforms to MCP Specification 2025-11-25.
Features
- 6 MCP Tools:
generate_image,edit_image,upscale_image,generate_video,list_models,upload_file - 7 MCP Prompts: Product photos, virtual staging, social media visuals, game concept art, ad creatives, video ads, image enhancement
- 2 MCP Resources:
pruna://modelscatalog for model discovery without tool calls - 18 models: 10 text-to-image, 3 editing, 1 upscale, 4 video
- Smart sync/async: Sync for fast image models, async with polling for video
- Transparent file handling: Pass local paths or URLs — auto-upload handled
- Native MCP image return:
ImageContentblocks for clients that support inline display - Full MCP compliance: Tool annotations, structured content, progress notifications
Quick Start
# With uvx (zero install)
uvx pruna-mcp-server
# Or with pip
pip install pruna-mcp-server
pruna-mcp
Set your API key — get one at pruna.ai (go to the developer portal or contact Pruna to request access):
# macOS Keychain (recommended)
security add-generic-password -a $USER -s PRUNA_API_KEY -w "your-api-key"
# Or environment variable
export PRUNA_API_KEY="your-api-key"
MCP Client Configuration
Kiro CLI
Add to your agent config (e.g. ~/.kiro/agents/default.json):
In mcpServers:
"pruna": {
"command": "sh",
"args": ["-c", "PRUNA_API_KEY=$(security find-generic-password -a $USER -s PRUNA_API_KEY -w) uv run --directory /path/to/pruna-mcp-server pruna-mcp"],
"autoApprove": ["generate_image", "edit_image", "upscale_image", "generate_video", "list_models", "upload_file"]
}
In tools, add: "@pruna/*"
In allowedTools, add: "generate_image", "edit_image", "upscale_image", "generate_video", "list_models", "upload_file"
Note: Kiro agents use a
toolswhitelist with@server-name/*syntax and anallowedToolslist. Both must include the Pruna tools for them to be available.
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"pruna": {
"command": "sh",
"args": ["-c", "PRUNA_API_KEY=$(security find-generic-password -a $USER -s PRUNA_API_KEY -w) /path/to/uv run --directory /path/to/pruna-mcp-server pruna-mcp"]
}
}
}
Important: Use the full path to
uv(e.g./Users/you/.local/bin/uv) — Claude Desktop launches processes with a minimal PATH that doesn't include~/.local/bin.
Note: Claude Desktop does not render
ImageContentinline in the chat. The image is generated and saved locally — Claude will reference the file path in its response.
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"pruna": {
"command": "uvx",
"args": ["pruna-mcp-server"],
"env": { "PRUNA_API_KEY": "your-api-key" }
}
}
}
Tools
| Tool | Description | Pricing |
|---|---|---|
generate_image |
Text-to-image with 10 models | From $0.0001/image |
edit_image |
Edit 1-5 images with text instructions | From $0.010/image |
upscale_image |
AI upscaling to 1-8 megapixels | From $0.005/image |
generate_video |
Text/image/audio to video | From $0.005/s |
list_models |
Browse all available models with pricing | Free |
upload_file |
Upload files for editing/video workflows | Free |
Image tools return both a JSON metadata block and a native MCP ImageContent block (base64, for images < 5MB).
Prompts
Built-in workflow templates for common use cases:
| Prompt | Use Case | Example |
|---|---|---|
product-photo |
E-commerce product shots | "white leather sneakers on clean background" |
virtual-staging |
Real estate room staging | Stage empty rooms with furniture |
social-media-visual |
Platform-optimized visuals | Auto aspect ratio per platform |
game-concept-art |
Game assets & environments | Characters, weapons, landscapes |
ad-creative |
Digital ads with text overlay | Headlines rendered in the image |
video-ad |
Short video ads | Talking heads, product demos |
image-enhance |
Upscale + enhance workflow | AI-generated image refinement |
Configuration
| Environment Variable | Required | Default | Description |
|---|---|---|---|
PRUNA_API_KEY |
✅ | — | Your Pruna AI API key |
PRUNA_OUTPUT_DIR |
— | ./pruna-output |
Directory for downloaded files |
PRUNA_POLL_INTERVAL |
— | 2 |
Seconds between async polls |
PRUNA_TIMEOUT |
— | 120 |
HTTP timeout in seconds |
PRUNA_MAX_RETRIES |
— | 3 |
Max retries on transient errors |
Client Compatibility
| Client | Transport | Status | Notes |
|---|---|---|---|
| Kiro CLI | STDIO | ✅ Tested | Requires tools + allowedTools config |
| Claude Desktop | STDIO | ✅ Tested | Use full path to uv; no inline image display |
| Cursor | STDIO | 🔲 Planned | — |
| Claude Code | STDIO | 🔲 Planned | — |
Development
git clone https://github.com/charlesrapp/pruna-mcp-server.git
cd pruna-mcp-server
uv sync --extra dev
# Run tests (100 tests, 94% coverage)
uv run pytest --cov
# Lint & type check
uv run ruff check src/ tests/
uv run mypy src/
See CONTRIBUTING.md for guidelines.
License
MIT — see LICENSE.
<!-- mcp-name: io.github.charlesrapp/pruna -->
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