A
licenseA
qualityD
maintenanceMCP server for multi-provider AI image generation (AWS Bedrock, OpenAI, Google Gemini) enabling image generation, transformation, and editing through a unified interface.
4
1
MIT
Pixio-MCP
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TDQS
A4.7/5.0
Scored across 9 tools
Disambiguation5/5
Each tool targets a distinct action (listing, param fetching, cost estimation, generation, status polling, download, upload, credit checking) with no overlap. The descriptions clearly differentiate their purposes.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case (e.g., list_models, get_model_params, upload_media). No mixing of conventions.
Tool Count5/5
With 9 tools covering the full generation workflow (discovery, parameter retrieval, cost estimation, run, status, download, upload, credits), the count is well-scoped and each tool serves a necessary role.
Completeness4/5
The tool surface covers the essential lifecycle: list, params, estimate, generate, poll, download, upload, and credit check. A minor gap is the absence of cancel or delete operations, but these are not critical for the core use case.
Maintenance
ActivityStale
ResponsivenessNo issues