F
licenseNot graded
qualityC
maintenanceProvides multi-model AI image generation via MCP tools, supporting Seedream, SDXL, and FLUX models with GPU acceleration.
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Segmind MCP Server
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- AlicenseNot gradedqualityAmaintenanceEnables assistants in any MCP client to generate new images or edit existing ones, automatically enriching short requests with composition, lighting, and camera details before sending them to Gemini, OpenAI, or BytePlus Seedream. Supports quality presets, aspect ratios, image sizes, character consistency, blended inputs, and Google Search grounding for current information.1,984 npmMIT
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- FlicenseAqualityDmaintenanceEnables AI assistants to generate high-quality images using SiliconFlow's Flux model through the Model Context Protocol, supporting multiple resolutions and customizable parameters.120-
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- AlicenseNot gradedqualityDmaintenanceEnables AI image generation and editing using Replicate's official models like Flux, SDXL, and Seedream, with tools to search models and generate images.35,398 npm6Apache 2.0
TDQS
A3.7/5.0
Scored across 12 tools
Disambiguation4/5
Most tools are clearly separated by modality and action: generate_image, transform_image, enhance_image, generate_video, generate_audio, and generate_music all have distinct purposes. The only real overlap is prepare_image versus read_local_image, though the descriptions explicitly differentiate the recommended workflow from the base64-returning alternative.
Naming Consistency5/5
All tool names follow a consistent snake_case verb_noun pattern: generate_*, list_*, get_*, transform_*, enhance_*, estimate_*, check_*, prepare_*, and read_*. The verbs are descriptive and predictable across the entire set.
Tool Count5/5
Twelve tools is well-scoped for a multimodal generation server. The count covers image, video, audio, and music generation, model discovery, image utilities, cost estimation, and credit checking without unnecessary bloat.
Completeness5/5
The tool surface provides a complete workflow for the domain: model discovery, generation across multiple modalities, image transformation and enhancement, local image preparation, and account/cost management. There are no obvious dead ends or missing core operations for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues