Fal.ai OpenAI Image MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FAL_KEY | Yes | fal.ai API認証用のAPIキー | |
| OPENAI_API_KEY | Yes | BYOK (Bring Your Own Key) システム用のOpenAI APIキー |
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 images using fal.ai GPT image-1 text-to-image API |
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 ambiguity or overlap between tools. The tool 'generate_image' has a clearly defined and distinct purpose for generating images via a specific API.
A single tool inherently has perfect naming consistency as there are no other tools to compare against. The name 'generate_image' follows a clear verb_noun pattern, which would be consistent if more tools were added.
A single tool is too few for a server with a domain like image generation, which could reasonably include operations like listing models, editing images, or fetching image details. This minimal set may cause agents to hit dead ends or lack flexibility in handling related tasks.
The server is severely incomplete for an image generation domain, covering only text-to-image generation. Obvious gaps include no tools for model management, image editing, retrieval of generated images, or error handling, which limits agent workflows and could lead to failures in broader tasks.