flow-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GFLOW_PROFILE | No | Profile name (auto-detected if not set) | auto-detected |
| GFLOW_CLI_HOME | No | gflow-cli data directory (platform default if not set) | platform default |
| GFLOW_OUTPUT_DIR | No | Directory to save generated images (temp directory if not set) | temp directory |
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 |
|---|---|
| generate_imageA | Generate images via Google Flow's batchGenerateImages API. Bypasses the Flow Agent chat quota (~10/day) by calling the API directly from a browser context with your saved authentication. Supports text-to-image and image-to-image (pass a reference_image path). Supports upscale to 2K/4K (pass resolution parameter). Models: nano-pro (default), nano2 (fast), narwhal, gem_pix_2. Aspects: 9:16 (default portrait), 16:9 (landscape), 1:1 (square), 4:3, 3:4. Resolutions: 1k (default, original), 2k, 4k (requires Ultra). |
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 for confusion or overlap between tools. The single tool has a clear, distinct purpose.
The sole tool uses a consistent verb_noun pattern (generate_image). With only one tool, naming consistency is inherently maintained.
The server has only one tool, which is on the low end of reasonable scope. While the tool itself is feature-rich, a single tool may feel insufficient for a full image generation service.
The tool covers a wide range of image generation capabilities (text-to-image, image-to-image, upscaling, multiple models and resolutions). Minor gaps like model listing or configuration retrieval are absent but not critical for core functionality.