Fal.ai OpenAI Image MCP Server
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- AlicenseNot gradedqualityNot gradedmaintenanceEnables high-quality AI image generation using the fal-ai/hidream-i1-full model with support for synchronous, streaming, and queue-based generation, custom image sizing, LoRA weights, and automatic local image downloads.-
- AlicenseBqualityFmaintenanceEnables AI-powered image generation from text prompts using fal.ai models directly within IDEs. Supports multiple models, customizable parameters, and saves generated images locally with accessible file paths.122 npm2MIT
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- AlicenseNot gradedqualityNot gradedmaintenanceEnables high-quality image generation using Google's Imagen 4 Ultra model via the FAL AI platform, featuring automatic local file downloads and batch processing. It supports various aspect ratios and offers both real-time and asynchronous generation methods through the Model Context Protocol.-
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'generate_image' has a clearly defined and distinct purpose for generating images via a specific API.
A single tool inherently has perfect naming consistency as there are no other tools to compare against. The name 'generate_image' follows a clear verb_noun pattern, which would be consistent if more tools were added.
A single tool is too few for a server with a domain like image generation, which could reasonably include operations like listing models, editing images, or fetching image details. This minimal set may cause agents to hit dead ends or lack flexibility in handling related tasks.
The server is severely incomplete for an image generation domain, covering only text-to-image generation. Obvious gaps include no tools for model management, image editing, retrieval of generated images, or error handling, which limits agent workflows and could lead to failures in broader tasks.