MCP Image Generator
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FALAI_API_KEY | Yes | Your fal.ai API key for image generation |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageC | Generate images using fal.ai with various styles and options. |
| upscale_imageB | Enhance image resolution by 4x using fal.ai upscaling. |
| search-and-replaceB | Replace objects or elements in an image using text descriptions. |
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 3 tools
Each tool targets a clearly distinct operation: generating new images, editing objects in existing images, and upscaling resolution. There is no overlap in purpose, so an agent can reliably distinguish them.
Two tools (generate_image, upscale_image) follow a consistent verb_noun pattern, but search-and-replace uses a hyphenated phrase, breaking the pattern. The inconsistency is minor and does not impede understanding.
With 3 tools, the server is borderline small for a comprehensive image service, but it covers core tasks (generation, editing, enhancement). The count feels slightly thin but not unreasonable.
The tools cover generation, editing, and upscaling, but lack common operations like cropping, resizing, or style transfer. The editing tool is limited to object replacement, leaving gaps for general image manipulation.