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Scenario.com MCP Server

Scenario.com MCP Server

Local
github.com/pasie15Media & Design2Updated 49w ago
Repository

About Scenario.com MCP Server

Scenario.com MCP Server exposes Scenario.com's generative AI API to MCP clients. It includes tools for image generation and editing, asset management, and model training.

Key features

  1. 01Generate images from text or images
  2. 02ControlNet and inpainting
  3. 03Upscale images and remove backgrounds
  4. 04Manage assets and models
  5. 05Create models and add training images

Use cases

  1. 01Generate images from text prompts
  2. 02Edit or upscale existing images
  3. 03Manage generated assets
  4. 04Train a model with training images

MCP support

It exposes Scenario.com API capabilities as tools for MCP clients, including image generation, asset management, and model training.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Scenario.com MCP Server

MCP server providing access to Scenario.com's generative AI API - text-to-image, image-to-image, model training, upscaling, and 70+ other tools.

Installation

Add to your MCP client config:

{
  "mcpServers": {
    "scenario": {
      "command": "npx",
      "args": ["-y", "scenario.com-mcp-server"],
      "env": {
        "SCENARIO_API_KEY": "your_api_key_here",
        "SCENARIO_API_SECRET": "your_api_secret_here"
      }
    }
  }
}

Get your API credentials from https://app.scenario.com/ → Settings → API Keys

Alternative: Session-based Credentials

Don't want to use env vars? Just use:

{
  "mcpServers": {
    "scenario": {
      "command": "npx",
      "args": ["-y", "scenario.com-mcp-server"]
    }
  }
}

Then in your MCP client:

Use set-credentials with API key api_xxx and secret yyy

Available Tools

Setup:

  • set-credentials - Configure API access for session
  • get-credentials-status - Check credential status

Image Generation:

  • post-txt2img-inferences - Generate from text
  • post-img2img-inferences - Generate from image
  • post-controlnet-inferences - ControlNet generation
  • post-inpaint-inferences - Inpainting
  • post-upscale-inferences - Upscale images
  • post-remove-background-inferences - Remove backgrounds

Asset Management:

  • get-assets - List assets
  • delete-asset - Delete assets
  • get-models - List models

Model Training:

  • post-models - Create model
  • put-models-train-by-model-id - Train model
  • post-models-training-images-by-model-id - Add training images

...and 60+ more tools. Use list_tools to see all.

License

ISC

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.