A
licenseA
qualityD
maintenanceMCP server for generating images using Z.AI's glm-image model. Supports image generation with various sizes and qualities, and includes batch CLI functionality.
1
6 npm
MIT
z_ai_image_gen_mcp
by GeorgH93
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TDQS
A3.9/5.0
Scored across 10 tools
Disambiguation4/5
Tools are mostly distinct: image vs video generation, sync vs async, and combined download operations. However, there is some overlap between generate_image_async+get_async_result and generate_image (sync), but descriptions clarify usage.
Naming Consistency4/5
Names follow a mostly consistent verb_noun pattern (e.g., list_models, generate_image). A minor inconsistency: 'get_async_result' is ambiguous (could be image or video), but the complementary 'get_video_result' helps. Compound names like 'generate_and_download_image' break the pattern slightly.
Tool Count5/5
10 tools cover the core workflows for image and video generation without being excessive. Each tool has a clear purpose, and the number is well-scoped for the domain.
Completeness4/5
Covers essential operations: model listing, generation (sync/async), result retrieval, and download. Lacks a synchronous video generation option and management tools (e.g., list/cancel tasks), but the main generation pipeline is complete.
Maintenance
ActivityActive
ResponsivenessNo issues