A
licenseNot graded
qualityC
maintenanceEnables LLM applications to generate, edit, describe, upscale, remix, reframe, and replace backgrounds in images using the Ideogram AI API.
14 npm
MIT
Replicate MCP Server
by aicoder2048
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TDQS
B3.2/5.0
Scored across 4 tools
Disambiguation4/5
generate_image and generate_image_batch are clearly distinct by cardinality, and each has a unique input type. However, edit_image and generate_from_reference_image overlap: both take an image and text prompt and return a modified/new image, which could cause misselection.
Naming Consistency5/5
All tool names use snake_case with a clear verb_noun or verb_preposition_noun structure. The generate_ prefix is consistent across three tools, and edit_image is a natural semantic variation.
Tool Count4/5
Four tools is well within the ideal 3-15 range for a focused image generation service. It covers key workflows without redundancy, though it could arguably support more operations.
Completeness4/5
The set covers single generation, batch generation, reference-based generation, and editing, which are core for image generation. Missing operations like listing available models or retrieving generation status are minor gaps an agent could work around.
Maintenance
ActivityInactive
ResponsivenessNo issues