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io.github.AceDataCloud/mcp-nanobanana-pro

AceDataCloud streamable_http Scanned 25d ago

MCP server for NanoBanana AI image generation and editing

B
77.3 / 100

Versions

2026.3.19.7latest
first seen Jun 5, 2026
2026.3.23.0
first seen May 19, 2026
PermissionsTool SafetyAuthAnnotationsCode QualityStabilitySpecVuln HistoryAuthorTransparencyCommunity

Tools 4

nanobanana_generate_image
annotations: none low

Generate an AI image from a text prompt using Google's Nano Banana model. This creates high-quality images from detailed text descriptions. The more descriptive your prompt, the better the results. Use this when: - You want to generate a new image from scratch - You have a detailed description of the desired image - You need photorealistic or artistic image generation Prompt writing tips: - Include: Main subject + Atmosphere + Lighting + Camera/Lens + Quality keywords - Example: "Urban career woman, backlit sunlight, film grain, orange-gold tones, hopeful dawn" Returns: Task ID, trace ID, and generated image URL.

count string model string prompt string resolution string aspect_ratio string callback_url string
nanobanana_edit_image
annotations: none low

Edit or combine images using AI based on a text prompt. This allows you to modify existing images or combine multiple images together. Perfect for virtual try-on, product placement, image enhancement, and more. Use this when: - You want to combine multiple images (e.g., person + clothing) - You want to modify an existing image - You need virtual try-on (putting clothes on a person) - You want to place products in different scenes - You need to change attributes (materials, colors, styles) Common use cases: - Portrait replacement: Try different clothing on same person - Product scene composition: Place products in realistic environments - Attribute replacement: Change materials, colors, or variants - Poster editing: Rapidly change styles or themes - 2D to 3D conversion: Convert images to 3D product mockups - Image restoration: Restore old or damaged photos Returns: Task ID, trace ID, and edited image URL.

count string model string prompt string image_urls string resolution string aspect_ratio string callback_url string
nanobanana_get_task
annotations: none low

Query the status and result of an image generation or edit task. Use this to check if a generation/edit is complete and retrieve the resulting image URLs and metadata. Use this when: - You want to check if an image generation has completed - You need to retrieve image URLs from a previous generation - You want to get the full details of a generated/edited image Returns: Task status and image information including URLs and prompts.

task_id string
nanobanana_get_tasks_batch
annotations: none low

Query multiple image generation/edit tasks at once. Efficiently check the status of multiple tasks in a single request. More efficient than calling nanobanana_get_task multiple times. Use this when: - You have multiple pending generations to check - You want to get status of several images at once - You're tracking a batch of generations Returns: Status and image information for all queried tasks.

task_ids string

Permissions 3

network medium
Server uses network capabilities via: httpx, urllib
filesystem low
Server uses filesystem capabilities via: os, pathlib
env_vars low
Server uses env_vars capabilities via: os.environ, os.getenv(), process.env

Scan Findings 33

low
Tool 'nanobanana_generate_image' has no annotations annotation_checker · 100%
low
Tool 'nanobanana_edit_image' has no annotations annotation_checker · 100%
low
Tool 'nanobanana_get_task' has no annotations annotation_checker · 100%
low
Tool 'nanobanana_get_tasks_batch' has no annotations annotation_checker · 100%
info
Sandbox failed to start for behavioral verification behavioral_verifier · 100%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-3qhf-m339-9g5v) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-9h52-p55h-vw2f) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-j975-95f5-7wqh) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-jpw9-pfvf-9f58) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (GHSA-vj7q-gjh5-988w) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-1616) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-1617) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-1618) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-3482) dependency_analyzer · 95%
medium
Vulnerable dependency: mcp@1.2.0,<2 (PYSEC-2026-3483) dependency_analyzer · 95%
medium
Vulnerable dependency: python-dotenv@1.0.0 (GHSA-mf9w-mj56-hr94) dependency_analyzer · 95%
medium
Vulnerable dependency: python-dotenv@1.0.0 (PYSEC-2026-2270) dependency_analyzer · 95%
medium
Vulnerable dependency: pydantic@2.0.0 (GHSA-mr82-8j83-vxmv) dependency_analyzer · 95%
medium
Vulnerable dependency: pydantic@2.0.0 (PYSEC-2026-1812) dependency_analyzer · 95%
info
package.json metadata manifest_parser · 100%
info
pyproject.toml metadata manifest_parser · 100%
info
Tool: nanobanana_generate_image manifest_parser · 90%
info
Tool: nanobanana_edit_image manifest_parser · 90%
info
Tool: nanobanana_get_task manifest_parser · 90%
info
Tool: nanobanana_get_tasks_batch manifest_parser · 90%
info
Transport: streamable-http manifest_parser · 80%
info
Required env vars (10) manifest_parser · 80%
info
Sandbox failed to start for output poisoning scan output_poisoning · 100%
medium
Permission: network access detected permission_analyzer · 90%
low
Permission: filesystem access detected permission_analyzer · 70%
low
Permission: env_vars access detected permission_analyzer · 90%
info
No dependency files found for SBOM generation sbom_generator · 100%
medium
No build provenance detected (SLSA L0) slsa_assessor · 90%