A
licenseA
qualityC
maintenanceMCP server for generating and editing images using Google Gemini API. Supports text-to-image generation, image editing, and image description.
3
5 npm
MIT
labnana-mcp
by exoticknight
Related Servers
Alternatives to labnana-mcp
No user-submitted related servers found.
Related Servers
Pixfaro MCPofficial
AlicenseAqualityBmaintenanceUnified MCP server for generating and editing images across multiple AI models (Nano Banana, Gemini, GPT Image) with a single prepaid API key, offering tools for image generation, editing, model listing, and balance checking.447 npmMIT- AlicenseNot gradedqualityDmaintenanceMCP server for Google's Nano Banana image generation models (Gemini). Generate and edit images via natural language.8 npm1MIT
- AlicenseAqualityCmaintenanceMCP server for AI image generation and editing using Google Gemini image models.7528 npmMIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides image generation using Google's Nano Banana Gemini models, with additional tools for background removal, upscaling, and format conversion via deterministic post-processing.1MIT
- AlicenseAqualityCmaintenanceMCP server for generating and editing images and videos via DashScope/OpenAI-compatible APIs, with tools for text-to-image, image editing, text/video generation, and automatic local download.5MIT
TDQS
A4.1/5.0
Scored across 7 tools
Disambiguation5/5
Each tool has a clear, distinct purpose: subscription info, credit estimation, sync generation, async generation initiation, task listing, task status query, and task waiting. Even generate_image vs generate_image_async are cleanly separated by sync/async semantics.
Naming Consistency4/5
Tool names mostly follow a consistent verb_noun (or verb_noun_modifier) pattern in snake_case, e.g., get_subscription, generate_image, list_generation_tasks. The only minor deviation is wait_for_generation_task which uses a phrasal verb, but it is still readable and predictable.
Tool Count5/5
Seven tools is well-scoped for an image generation API with account/credit management. The set covers both synchronous and asynchronous flows, estimation, and task tracking without unnecessary bloat.
Completeness4/5
The core image generation workflow is complete: estimate credits, generate (sync/async), list, query, and wait for tasks. Minor gaps include lack of a cancel-task operation and no explicit tool to retrieve generated images directly, but these are workarounds via task links.
Maintenance
ActivityMaintained
ResponsivenessNo issues