FLUX MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| REPLICATE_API_TOKEN | Yes | Your Replicate API token (required). Get it from https://replicate.com/account/api-tokens |
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 |
|---|---|
| flux_modelsB | List supported FLUX models with usage notes and key inputs |
| flux_generateC | Generate an image with a FLUX model via Replicate and save files to download_path |
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 2 tools
The two tools have clearly distinct purposes: one generates images, while the other lists available models. There is no overlap in functionality, and an agent can easily differentiate between them based on their names and descriptions.
Both tools follow a consistent 'flux_' prefix with descriptive suffixes ('generate' and 'models'), using snake_case throughout. This pattern is predictable and enhances readability for agents.
With only two tools, the server feels thin for an image generation domain. While it covers generation and model listing, it lacks operations for managing generated images (e.g., delete, list, update) or handling other aspects like prompts or settings, making the scope incomplete.
The toolset is severely incomplete for an image generation server. It includes generation and model listing but misses essential operations such as retrieving, deleting, or modifying generated images, and lacks tools for prompt management or configuration, leaving significant gaps in the workflow.