MCP fal.ai Image Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FAL_KEY | Yes | Your fal.ai API key (required for authentication) | |
| FAL_IMAGES_OUTPUT_DIR | No | Custom location for saving generated images. Images will be saved in <your-folder>/fal_ai. Default is ~/Downloads/fal_ai |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate-imageC | Generate an image from a text prompt using a selectable text-to-image model. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently follows a consistent naming pattern. The tool name 'generate-image' uses a clear verb_noun format, which would be consistent if more tools were added.
One tool is too few for a server named 'MCP fal.ai Image Server', which suggests a broader image-related domain. A single generation tool lacks coverage for expected operations like editing, upscaling, or listing models.
The server is severely incomplete for an image generation domain. It only provides image generation, missing essential operations such as image editing, model selection beyond 'selectable', or metadata retrieval, which limits agent workflows.