image_studio_mcp

image_studio_mcp

An MCP server that lets any MCP client generate and edit images using Image Studio API, returning results inline and saving PNGs to disk.

Category
Visit Server

README

image_studio_mcp

npm version license: MIT node >=20

A Model Context Protocol server that lets any MCP client β€” Claude Code, opencode, Claude Desktop, or your own β€” generate and edit images in-loop with Image Studio. Results come back inline (the model sees the image) and each PNG is saved to disk.

You need nothing but Node β‰₯20 and an API key: point your client at npx @ross_technologies/image_studio_mcp, drop in your key, and go. No clone, no build, no local model β€” all rendering runs on the hosted Image Studio API.

  • πŸ“¦ npm: @ross_technologies/image_studio_mcp Β· v1.0.1
  • πŸ”‘ Get an API key: https://studio.ross-developers.com
  • πŸ“– Full docs: https://studio.ross-developers.com/agents/mcp/docs

Quick start

Add this to your MCP client config (e.g. .mcp.json), put in your key, and restart the client:

{
  "mcpServers": {
    "image-studio": {
      "command": "npx",
      "args": ["-y", "@ross_technologies/image_studio_mcp"],
      "env": { "IMAGE_STUDIO_API_KEY": "isk_your_key_here" }
    }
  }
}

Don't have a key yet? Use the watermarked, no-GPU sandbox key isk_test_onelove to try it out.

Then just ask your agent to make an image β€” e.g. "generate a sunset over Kingston harbour" β€” and it will call generate_image, show you the result inline, and save the PNG.

Tools

tool description
list_models list the image models (generation + editing) with their tasks and parameters
generate_image text→image (irie, vibes, roots, sunsplash, criss, kaya, wagwan) — blocks, returns inline + saves
edit_image image edit (remix, bashment, patchie[mask], bredda, rocksteady, biggup[upscale]) β€” input_image = path / data URI / base64
get_job poll a job by id
cancel_job cancel a job

generate_image / edit_image submit the job, poll to completion (up to MCP_MAX_WAIT_S), return every image as an inline base64 block and write it to IMAGE_OUTPUT_DIR/<job_id>/<n>.png. Call list_models first to see every model, its task, and its tunable parameters.

Configuration

Set via your MCP client's env block (above) or a .env file. See .env.example.

var required default notes
IMAGE_STUDIO_API_KEY βœ… β€” Your key from https://studio.ross-developers.com. Server refuses to start without it.
IMAGE_OUTPUT_DIR <package>/outputs where PNGs are saved
MCP_MAX_WAIT_S 900 max seconds a tool blocks before returning a job handle

Install (optional)

npx needs no install. To pin it globally instead:

npm install -g @ross_technologies/image_studio_mcp
# then use "command": "image_studio_mcp" (no npx) in your MCP config β€” the bin is unscoped

From GitHub Packages

Also mirrored to GitHub Packages under the @ross-sec scope. Point that scope at GitHub's registry, then install:

echo "@ross-sec:registry=https://npm.pkg.github.com" >> .npmrc
npm install @ross-sec/image_studio_mcp

Releases

  • Latest: v1.0.1 β€” see CHANGELOG.md.
  • npm: https://www.npmjs.com/package/@ross_technologies/image_studio_mcp
  • GitHub Packages: https://github.com/ross-sec/image_studio_mcp/packages

How it works

generate_image / edit_image call your Image Studio backend, poll the job to completion, and return the finished PNG both inline (so the model sees it) and on disk. Nothing runs locally β€” the server is a thin, typed client over the hosted /v1 API. It talks to your MCP client over stdio, and logs only to stderr (stdout is the JSON-RPC stream). Your IMAGE_STUDIO_API_KEY is read from the client env / a local .env and is never written to disk or logged. See SECURITY.md.

Contributing & conduct

Contributions welcome β€” see CONTRIBUTING.md. This project follows the Contributor Covenant.

License

MIT Β© Andre Ross

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured