Pruna
MCP server for Pruna AI — ultra-fast image generation, editing, upscaling, and video generation directly from your AI assistant.
What is Pruna?
Pruna is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for pruna ai — ultra-fast image generation, editing, upscaling, and video generation directly from your ai assistant.
MCP server for Pruna AI — ultra-fast image generation, editing, upscaling, and video generation directly from your AI assistant.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for Pruna AI — ultra-fast image generation, editi
Use Cases
Maintainer
Works with
Installation
PIP
pip install pruna-mcp-serverManual Installation
pip install pruna-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Pruna
What is Pruna?
Pruna is a Model Context Protocol (MCP) server that mcp server for pruna ai — ultra-fast image generation, editing, upscaling, and video generation directly from your ai assistant. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Pruna?
Install via pip with: pip install pruna-mcp-server. Then configure your AI client to connect to this MCP server.
Which AI clients work with Pruna?
Pruna works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Pruna free to use?
Yes, Pruna is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Pruna in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Pruna?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.