Scenario.com MCP Server

The Scenario.com MCP Server bridges the powerful image‑generation and background‑removal capabilities of the Scenario.com platform with AI assistants that understand the Model Context Protocol. By exposing a set of well‑defined tools over MCP, it lets developers embed creative visual workflows directly into chat or code generation sessions. Instead of calling the Scenario.com REST API manually, a Claude or other MCP‑enabled assistant can invoke image generation (“txt2img”) and background erasure with a single tool call, receiving the resulting asset URLs or binary data as part of the conversation context.

This server solves a common pain point for developers building AI‑augmented creative tools: the need to orchestrate asynchronous image jobs, monitor status, and handle file downloads while keeping the user experience fluid. It hides the complexity of authentication (via API key/secret), job polling, and error handling behind a clean MCP interface. For developers, this means fewer boilerplate scripts, tighter integration with their existing AI workflows, and the ability to compose image assets on demand within a single conversational turn.

Key capabilities include:

• Text‑to‑Image Generation: Submit a prompt and receive a job ID, then track progress until the image is ready for download.
• Background Removal: Upload an existing image and obtain a version with the background stripped, ready for compositing.
• Asset Metadata Retrieval: Query details about a generated asset (size, format, usage rights) using its job ID.
• Job Status Monitoring: Check the current state of any queued or running task, enabling responsive UI feedback.
• Direct Download: Fetch the final image file in a convenient binary format for immediate use or storage.

Typical use cases span content creation pipelines, e‑commerce product imaging, and interactive storytelling. For example, a design assistant could prompt the server to generate a character illustration, automatically remove its background, and then embed it into a user’s design document—all without leaving the chat interface. In a marketing automation scenario, an AI agent could pull background‑free images for dynamic ad generation on the fly.

Integration is straightforward: once the server is running, any MCP‑compatible client can add a configuration pointing to its Python script. The assistant’s tool invocation syntax remains consistent with other MCP servers, ensuring that developers can swap or augment image backends without rewriting conversational logic. The server’s lightweight design, coupled with its explicit support for background removal—a feature not universally available—makes it a standout addition to any AI‑driven creative stack.