Runware FAQs

Question 1

Can I customize the image generation process with this server?

Accepted Answer

Absolutely. The Runware MCP Server provides fine-grained control over numerous parameters such as prompt, negative prompt, image width and height, generation steps, CFG scale, seed for reproducibility, and various sampling schedulers.

Question 2

Which AI models are supported for image generation?

Accepted Answer

The server supports multiple advanced Runware AI models, including FLUX.1, FLUX.2, HiDream, and Juggernaut XL. It also provides a tool to list popular models available on the Runware platform.

Question 3

What is the Runware MCP Server?

Accepted Answer

The Runware MCP Server is a tool that facilitates AI image generation using Runware's powerful API. It's built on the Model Context Protocol (MCP), offering flexible control over various AI models and detailed image parameters.

Question 4

How can I deploy the Runware MCP Server?

Accepted Answer

Deployment is highly flexible. You can run it locally via `stdio` (e.g., for Claude Desktop integration), as an `HTTP` server for remote access, or deploy it serverlessly on Vercel, which includes streaming support via Fluid compute for optimal performance.

Question 5

What are the security measures for remote access?

Accepted Answer

For HTTP and Vercel deployments, the server supports API key authentication. You can configure multiple `MCP_API_KEYS` in your environment, requiring clients to send an `x-api-key` header for secure access to the image generation capabilities.

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