A
licenseNot graded
qualityA
maintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone and design voices, and create related media outputs.
549 npm
MIT
MCPGeneration for OpenRouter
by yberudev
Related Servers
Alternatives to MCPGeneration for OpenRouter
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables MCP clients to generate images from text and edit or composite up to 16 input images with optional masks, choosing among several image models and quality/size/format options on each call. Generated results are saved to disk as file paths or returned inline for preview, with unsupported parameters and retired models rejected locally before any paid request.3487 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP-compatible clients to generate and upscale AI images, videos, music, and sound effects, manage generation jobs, access model catalogs, and track credits.3MIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through provider APIs.549 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables any MCP client to create and edit images from natural-language requests, automatically enriching short prompts with composition, lighting, and camera details while supporting Gemini, OpenAI, and BytePlus Seedream with fast, balanced, or quality presets.1,984 npmMIT
- AlicenseAqualityBmaintenanceEnables MCP clients to generate images and iteratively edit them using OpenAI's gpt-image-2 models, with session management, background job polling, and local file saving.8556 npmMIT
TDQS
B3.4/5.0
Scored across 10 tools
Disambiguation4/5
The tools mostly target distinct resource/action pairs, and descriptions clarify boundaries such as generate_video versus animate_image and generate_image versus edit_image. Minor potential confusion remains around generate_variations, which overlaps conceptually with generate_image/edit_image, but its purpose is still distinguishable.
Naming Consistency5/5
All tool names use consistent snake_case and follow a predictable verb_noun pattern: list_models, generate_video, get_video_status, estimate_cost, list_assets, generate_image, edit_image, generate_variations. Even animate_image fits the same convention as a specific action on a resource.
Tool Count5/5
Ten tools are well-scoped for this server's media-generation purpose. Each tool covers a distinct operation across models, images, videos, assets, and cost estimation without excessive surface area.
Completeness4/5
The surface covers the main lifecycle: listing models, generating/editing images, generating variations, generating/an image-animating videos, checking status, downloading videos, listing assets, and estimating cost. Minor gaps exist around asset deletion/cleanup and job cancellation, but core workflows are well covered.
Maintenance
ActivityMaintained
ResponsivenessNo issues