FLUX Image Generator MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| BFL_API_KEY | Yes | Your Black Forest Lab 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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generateImageC | Generate an image using Black Forest Lab's FLUX model based on a text prompt |
| quickImageC | Quickly generate an image based on a text prompt with default settings |
| batchGenerateImagesC | Generate multiple images from a list of prompts |
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
The tools have significant overlap in purpose, with all three focused on generating images from text prompts. 'generateImage' and 'quickImage' are particularly ambiguous—both generate a single image based on a prompt, differing only in default settings versus customizable ones. 'batchGenerateImages' is more distinct as it handles multiple prompts, but the overall set lacks clear boundaries.
The naming is mixed in style: 'batchGenerateImages' uses camelCase, while 'generateImage' and 'quickImage' are more descriptive but follow a similar verbNoun pattern. There's no consistent casing convention, and the verbs ('batchGenerate', 'generate', 'quick') vary without a clear pattern, making it readable but not predictable.
With only 3 tools, the count feels thin for an image generation server, as it lacks operations for managing or editing images. However, it covers basic generation tasks, so it's borderline—adequate for minimal functionality but could benefit from more comprehensive coverage.
The server is severely incomplete for an image generation domain. It only offers generation tools with no ability to retrieve, update, delete, or edit images. There are no tools for managing image metadata, applying filters, or handling errors, which are common in such systems, leading to significant gaps in agent workflows.