A
licenseNot graded
qualityD
maintenanceAn MCP server to use the fal.ai APIs to generate images and videos.
4
MIT
fal-mcp
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TDQS
A3.6/5.0
Scored across 6 tools
Disambiguation4/5
Most tools have distinct purposes: edit_image modifies existing images, generate_image creates from text, generate_with_lora adds LoRA models, generate_with_reference uses style guidance, list_outputs enumerates saved images, and raw_generate handles advanced configurations. However, generate_image and generate_with_lora could potentially overlap in functionality if LoRA is used for generation, but their descriptions clarify the distinction.
Naming Consistency4/5
Tool names follow a consistent verb-based snake_case pattern (e.g., edit_image, generate_image, list_outputs), which is clear and predictable. The only minor deviation is raw_generate, which uses 'raw' as a prefix instead of a verb, but it still fits the overall naming style without causing confusion.
Tool Count5/5
With 6 tools, the server is well-scoped for image generation and editing tasks. Each tool serves a specific role, from basic generation to advanced configurations, and the count is neither too sparse nor overwhelming, fitting typical MCP server ranges for this domain.
Completeness4/5
The toolset covers core image generation workflows: creation (generate_image), editing (edit_image), style control (generate_with_reference), model customization (generate_with_lora), and advanced options (raw_generate), plus management (list_outputs). A minor gap is the lack of a delete or manage tool for removing saved images, but agents can work around this.
Maintenance
ActivityInactive
ResponsivenessNo issues