Pruna
Generate, edit, upscale images, and create video clips from the agent without wiring custom Pruna REST calls.
Overview
Pruna is a MCP server for the Build phase that runs ultra-fast Pruna AI image generation, editing, upscaling, and video generation from your agent.
What is this MCP server?
- Ultra-fast image generation, editing, and upscaling via Pruna AI
- Video generation exposed alongside image tools through one MCP server
- stdio PyPI package pruna-mcp-server (0.1.1) with required PRUNA_API_KEY
- Repository: github.com/charlesrapp/pruna-mcp-server
- Server version 0.1.1, registryType pypi, identifier pruna-mcp-server
- Four capability areas stated: image generation, editing, upscaling, video generation
Community signal: 2 GitHub stars.
What problem does it solve?
Building marketing or product visuals inside an agent session breaks down when every image or clip requires manual API scripting or leaving the IDE for another tool.
Who is it for?
Solo builders who ship content-heavy SaaS, landing pages, or agent demos and want one MCP hook to Pruna’s media stack.
Skip if: Teams that need on-prem models only, zero external API spend, or fine-grained batch pipelines without agent oversight.
What do I get? / Deliverables
Your agent can produce and refine Pruna-powered images and videos in-thread, ready to drop into prototypes, ads, or app asset folders.
- Generated or edited images via Pruna inference
- Upscaled image assets for web or app use
- Short-form video outputs for demos or social distribution
Recommended MCP Servers
Journey fit
Canonical shelf is Build → integrations because Pruna is an external AI media API surfaced as MCP tools during product construction. Integrations subphase is where you connect third-party inference providers to your app, marketing assets, or agent workflows.
How it compares
Pruna media API MCP bridge, not a local Stable Diffusion skill or generic image prompt pack.
Common Questions / FAQ
Who is Pruna MCP for?
Developers and indie founders using Claude Code or similar agents who want Pruna AI images and video without hand-writing HTTP clients.
When should I use Pruna MCP?
Use it during Build when you need hero images, ad variants, upscaled assets, or short video for a launch while staying inside your agent workflow.
How do I add Pruna MCP to my agent?
Install the PyPI pruna-mcp-server stdio package, set PRUNA_API_KEY from pruna.ai, register the server in your MCP config, then call the Pruna tools from your client.