FluxMCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LOG_LEVEL | No | Logging level | INFO |
| MCP_SERVER_NAME | No | MCP server name | flux |
| FLUX_REQUEST_TIMEOUT | No | Request timeout in seconds | 1800 |
| ACEDATACLOUD_API_TOKEN | Yes | API token from AceDataCloud | |
| ACEDATACLOUD_API_BASE_URL | No | API base URL | https://api.acedata.cloud |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| flux_generate_imageA | Generate AI images from a text prompt using Flux. |
| flux_edit_imageA | Edit an existing image using Flux with a text prompt. |
| flux_list_modelsA | List all available Flux models and their capabilities. |
| flux_list_actionsA | List all available Flux tools and their use cases. |
| flux_get_taskA | Query the status and result of a Flux image or video generation task. |
| flux_get_tasks_batchA | Query multiple Flux image or video generation tasks at once. |
| flux_generate_videoB | Generate text/image/video-to-video or enhance an owned temporary draft. Poll flux_get_task. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| flux_image_generation_guide | Guide for choosing the right Flux tool and model for image tasks. |
| flux_prompt_writing_guide | Best practices for writing effective Flux image generation prompts. |
| flux_workflow_examples | Common workflow examples for Flux image generation. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
The core tools are clearly separated: generate vs edit vs video generation, and single-task vs batch task queries are explicitly distinguished. Minor overlap exists because flux_generate_video bundles several video workflows and flux_get_tasks_batch could be seen as an optimization of flux_get_task, but descriptions make the intended boundaries clear.
All tools follow a consistent flux_verb_noun snake_case pattern, such as flux_generate_image, flux_edit_image, flux_get_task, and flux_list_models. The convention is predictable throughout.
Seven tools is well-scoped for an image/video generation service. The set covers generation, editing, task polling, batch polling, and reference discovery without obvious padding.
The surface covers the main lifecycle: generate/edit media, generate video, poll tasks, batch poll, and discover models/actions. Minor gaps remain around cancellation or listing existing tasks, but core workflows appear supported.