fal-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FAL_KEY | Yes | API key from 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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tasks | {
"list": {},
"cancel": {},
"requests": {
"tools": {
"call": {}
},
"prompts": {
"get": {}
},
"resources": {
"read": {}
}
}
} |
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageA | Generate images from a text prompt using fal.ai. Common models:
Returns paths to saved images and metadata. |
| generate_with_referenceC | Generate images with a style/content reference image. Uses the reference_image feature of flux-general to guide generation toward a similar style or content as the reference. Args: reference_image_url: URL of the reference image for style guidance. reference_strength: How strongly to follow the reference (0.0-1.0). |
| generate_with_loraC | Generate images with a LoRA model applied. Args: lora_url: URL to the LoRA safetensors file (e.g. from HuggingFace). lora_scale: Strength of the LoRA effect (0.0-2.0, default 1.0). |
| edit_imageB | Edit an existing image using natural language instructions (FLUX Kontext). Pass a reference image and describe the changes you want in the prompt. Great for iterating on generated images. Args: image_url: URL of the image to edit. prompt: Description of the desired changes. |
| raw_generateA | Submit an arbitrary request to any fal.ai model endpoint. Use this for advanced configurations (ControlNet, IP-Adapter, multi-LoRA, custom parameters) that aren't covered by the other tools. Args: model: The fal.ai model endpoint ID (e.g. "fal-ai/flux-general"). body: The full JSON request body to send to the model. |
| list_outputsB | List all images previously saved in the output directory. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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