A
licenseA
qualityD
maintenanceAn MCP server that enables local AI agents to generate images and videos through the OpenRouter API, manage a browsable media library, and track generation costs.
11
MIT
omnicinema-mcp
by joeshwoa
Related Servers
Alternatives to omnicinema-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server that lets AI agents generate images and videos, build websites, and produce designed PDFs with transparent model routing, cost tracking, and local artifact mirroring.124MIT
- AlicenseAqualityCmaintenanceMulti-provider media generation MCP server that generates images, videos, audio, and transcriptions from text prompts using OpenAI, xAI, Gemini, ElevenLabs, and BFL through a single unified interface.6164 npm2MIT
- FlicenseNot gradedqualityAmaintenanceA local MCP server that lets chat-based coding agents turn a folder of raw clips into finished, beat-synced montage videos by handling shot selection, music matching, subtitles, transitions, and rendering through natural language. It returns a timeline digest and contact sheet for approval before any frame is rendered.-
- AlicenseNot gradedqualityAmaintenanceA self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.1Apache 2.0
- AlicenseAqualityFmaintenanceProduction-grade MCP server for image and video understanding and generation across Gemini, OpenAI, and Grok.5259 PyPI4Apache 2.0
TDQS
A4.1/5.0
Scored across 15 tools
Disambiguation4/5
Most tools have clearly distinct purposes (IPC trio, generation tools per asset kind, pipeline vs montage). The provider-management cluster (list_providers, discover_providers, check_limits, approve_suggestion) overlaps slightly, but descriptions differentiate 'what's available', 'find new', 'approve', and 'quota' well enough. generate_image bundles several sub-modes (logo/vector/ui-mockup vs cinematic-photo/texture) but is still a single coherent generation tool.
Naming Consistency5/5
All 15 tools use consistent snake_case with a verb_noun or verb_noun_noun pattern (generate_image, run_cinema_pipeline, ipc_start). The ipc_ prefix trio is a clean, predictable convention. No mixed camelCase or style deviations.
Tool Count5/5
15 tools sit at the top of the healthy 3-15 range and each earns its place: distinct asset generators (image/voice/soundtrack/sfx), a project pipeline, dependency install, provider registry management, and an IPC lifecycle. Nothing feels padded or redundant.
Completeness4/5
Covers image, voiceover, music, SFX generation, a full pipeline, provider discovery/approval, quota checks, and IPC serving. Minor gaps: no standalone create/list/delete project tools despite projectId being central, and no explicit generate_video tool although the pipeline references generative video APIs — agents can partly work around via run_cinema_pipeline and compile_montage.