Skip to content
Agentmart
Submit a tool

Pruna

Ultra-fast image generation, editing, upscaling, and video generation via Pruna AI.

Connector by charlesrapp · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 5
Write a review

Chalk Labs

Need help deploying Pruna?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/charlesrapp-pruna

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Ultra-fast image generation, editing, upscaling, and video generation via Pruna AI.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
1 read · 7 write · 0 delete
Secrets
1 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 8

Read from the source code; the running server may list different tools.

Read 1 · Look things up without changing anything.

  • list_models

Write 7 · Create, change, send or run things.

  • edit_image
  • generate_image
  • generate_video
  • transform_video
  • try_on_image
  • upload_file
  • upscale_image

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • PRUNA_API_KEY

Files it touches

  • Any path the agent passes to its tools

Tools (8)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • edit_imageImage Editing (Pruna AI)

    Edit one or more images with text instructions using Pruna AI. Args: prompt: Edit instruction describing the desired changes images: 1-5 image URLs or local file paths model: Model to use (default: p-image-edit) aspect_ratio: Output aspect ratio seed: Random seed for reproducible generation

  • generate_imageImage Generation (Pruna AI)

    Generate an image from a text prompt using Pruna AI. Args: prompt: Text description of the image to generate model: Model to use (default: p-image) aspect_ratio: Output aspect ratio (1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, custom) width: Custom width 256-1440, multiple of 16. Only when aspect_ratio=custom height: Custom height 256-1440, multiple of 16. Only when aspect_ratio=custom seed: Random seed for reproducible generation

  • generate_videoVideo Generation (Pruna AI)

    Generate a video from text, image, or audio using Pruna AI. Args: prompt: Text prompt for video generation model: Model to use (p-video, wan-t2v, wan-i2v, vace) image: Input image URL/path for image-to-video audio: Input audio URL/path for audio-conditioned video duration: Duration in seconds (1-20) resolution: Video resolution (720p or 1080p) aspect_ratio: Aspect ratio (ignored when image is provided) fps: Frames per second (24 or 48) seed: Random seed for reproducible generation

  • list_modelsList Pruna AI Modelsread-only

    List available Pruna AI models with capabilities and pricing. Args: category: Filter by category: image, editing, try-on, upscale, video, video-edit

  • transform_videoVideo-to-Video Transform (Pruna AI)

    Transform a source video using reference images (video-to-video). Two models are available: - p-video-animate: animate a single subject reference image using the motion from the source video (provide exactly 1 reference). - p-video-replace: replace the character(s) in the source video using 1-3 identity reference images. Motion, timing, camera movement, and scene structure are preserved. Args: video: Source video URL or local file path (.mp4) references: Reference images (URLs or local file paths). Exactly 1 for p-video-animate, 1-3 for p-video-replace. model: Model …

  • try_on_imageVirtual Try-On (Pruna AI)

    Virtually fit one or more garments onto a person's photo using Pruna AI. Args: person_image: Image URL or local file path of the person garment_images: 1-11 garment reference images (URLs or local file paths). Up to 6 recommended for best quality. model: Model to use (default: p-image-try-on) prompt: Experimental guidance for non-flatlay garment images (e.g. which garment from which image to use) turbo: Faster generation. Not recommended for more than 4 garments reference_pose: Experimental. Image URL/path to repose the person before try-on seed: Ra…

  • upload_fileUpload File to Pruna AI

    Upload a local file to Pruna AI for use in editing/video workflows. Args: file_path: Local file path to upload (max 20MB)

  • upscale_imageImage Upscaling (Pruna AI)

    Upscale an image using Pruna AI. Args: image: Image URL or local file path to upscale target: Target resolution in megapixels (1-128, capped at 128 MP) output_format: Output format (webp, jpg, png) enhance_details: Enhance fine textures enhance_realism: Improve realism (recommended for AI-generated images)

Signals

Stars
5
Forks
0
Open issues
0
Weekly downloads
33
Last commit
Jul 10, 2026 (3 months ago)
Last release
May 6, 2026 (6 months ago)
Last package publish
Jul 14, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.charlesrapp/pruna
Version
0.1.1
Auth
API key
Packages
pypi pruna-mcp-server
License
MIT
First seen
Oct 24, 2026
Last checked
Nov 1, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get Pruna running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying Pruna?

CallGet help
Cite this page

Pruna MCP server. Agent Mart. https://agentmart.dev/connectors/charlesrapp-pruna (last updated 2026-11-01)