Banana Image MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Gemini API key from Google AI Studio | |
| IMAGE_OUTPUT_DIR | No | Where to save generated images | ~/banana-images |
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": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageA | Generate new images or edit existing images using natural language instructions. Supports multiple input modes:
Automatically detects mode based on parameters or can be explicitly controlled. Input images are read from the local filesystem to avoid massive token usage. Returns both MCP image content blocks and structured JSON with metadata. |
| upload_fileA | Upload a local file through the Gemini Files API and return its URI & metadata. Useful when the image is larger than 20MB or reused across prompts. |
| show_output_statsA | Show statistics about the output directory and recently generated images. |
| maintenanceB | Perform maintenance operations following workflows.md patterns. Available operations:
|
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| photorealistic_shot | Generate a prompt for high-quality photorealistic images. |
| logo_text | Generate a prompt for logo creation with accurate text rendering. |
| product_shot | Generate a prompt for studio product photography. |
| sticker_flat | Generate a prompt for flat/kawaii style stickers. |
| iterative_edit_instruction | Generate an instruction for precise image editing. |
| composition_and_style_transfer | Generate an instruction for style transfer and composition blending. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| prompt_templates_catalog | A compact catalog of prompt templates (same schemas as the @mcp.prompt items). |
| list_operations | List all tracked operations. Returns: Dict with list of operations and summary statistics |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: generate_image for creating/editing images, maintenance for system cleanups, show_output_stats for monitoring, and upload_file for file uploads. There is no ambiguity between them.
Most tool names follow a verb_noun pattern (generate_image, show_output_stats, upload_file). 'Maintenance' is a single noun but still clear and fits the overall style. Minor inconsistency does not cause confusion.
Four tools is well-scoped for an image generation server. Each tool addresses a key aspect: generation, upload, maintenance, and statistics. The count is neither too few nor excessive.
The tools cover core image operations (generation, upload, maintenance, stats). A minor gap is the lack of a dedicated delete tool for images, but maintenance can clean up expired files, so it's workable.