@monsoft/mcp-fal-ai
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | SSE server port (default: 3001) | 3001 |
| RUN_SSE | No | Enable SSE transport (default: false) | false |
| FAL_API_KEY | Yes | Your fal.ai API key |
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 | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| fal-list-modelsA | List all available models from fal.ai with optional pagination parameters. Avoid listing all models at once as it may be too many models to process.. Use the limit and page parameters to paginate the results. |
| fal-search-modelsC | Search for models by keywords with optional category and limit filtering. The keywords are used to search for models that match the keywords. |
| fal-get-model-schemaC | Get the schema for a model. The model schema is used to understand the input and output of the model. use the modelId to get the schema of the model. |
| fal-run-syncA | Run a model synchronously and automatically download any image URLs in the response. The model is run synchronously using the fal.run endpoint. Returns the model output with embedded base64 image data for any image URLs found. |
| fal-enqueueC | Enqueue a model. The model is enqueued using the fal.run endpoint. You need to check the status of the model using the fal-get-status tool, then get the result using the fal-get-result tool. |
| fal-get-statusB | Get the status of a model. The status is returned using the fal.run endpoint. You need to check the status of the model using the fal-get-status tool, then get the result using the fal-get-result tool. |
| fal-get-resultA | Get the result of a model execution and automatically download any image URLs in the response. Returns the model output with embedded base64 image data for any image URLs found. You need to check the status of the model using the fal-get-status tool first. |
| fal-cancelD | Cancel a the given request |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| review-fal-prompt |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| fal-config | |
| fal-docs-usage | |
| fal-tools-reference |
TDQS
Scored across 8 tools
Each tool has a distinct purpose (cancel, enqueue, schema, result, status, list, run sync, search) with clear descriptions that differentiate async and sync operations.
All tools follow a consistent 'fal-verb' pattern with hyphens, e.g., fal-list-models, fal-run-sync, making it predictable.
8 tools is well-scoped for a model inference server, covering essential operations without unnecessary bloat or deficiency.
The tool surface covers the full lifecycle: discover models (list/search), get schema, run (sync/async), check status, get result, and cancel, leaving no obvious gaps.