Can I use session-based credentials instead of environment variables?

Yes. Omit the `SCENARIO_API_KEY` and `SCENARIO_API_SECRET` environment variables and use the `set-credentials` tool with your API key and secret in your MCP client.

How many tools does the server provide?

The server provides over 70 tools. Use `list_tools` in your MCP client to see the full list.

What credentials does it need?

It reads `SCENARIO_API_KEY`, `SCENARIO_API_SECRET` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Scenario.Com MCP Server

A Model Context Protocol (MCP) server for the Scenario.com API

Local serverstdio

What is the Scenario.Com MCP Server?

A Model Context Protocol (MCP) server for the Scenario.com API

What the server does

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

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
set-credentials	Configure API access for session
get-credentials-status	Check credential status
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
get-assets	List assets
delete-asset	Delete assets
get-models	List models
post-models	Create model
put-models-train-by-model-id	Train model
post-models-training-images-by-model-id	Add training images

How to install the Scenario.Com MCP Server

{
  "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"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.