Sora 2 MCP Server
Related Servers
Alternatives to Sora 2 MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityFmaintenanceIntegrates with OpenAI's Sora 2 API to generate, remix, and manage AI-generated videos from text prompts. Supports video creation, status monitoring, downloading, and remixing through natural language commands.208MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to generate, manage, and download AI-generated videos using OpenAI's Sora models, supporting text prompts, image-to-video, remixing, and more.9MIT
- AlicenseAqualityDmaintenanceEnables programmatic creation, management, and remixing of AI-generated videos using OpenAI's Sora API. Supports video generation with customizable parameters, status monitoring, downloading, and video remixing capabilities.66 npm3MIT
- AlicenseBqualityDmaintenanceProvides tools for agent-driven video creation, including image generation via Google's GenAI, video generation, and local video stitching with FFmpeg.31Apache 2.0
- FlicenseAqualityBmaintenanceEnables AI agents to generate videos from text prompts, monitor job status, retrieve completed videos, and cancel ongoing generation tasks through stdio-based MCP tools.4-
- AlicenseNot gradedqualityDmaintenanceEnables video generation from text prompts or images using Google's Veo 3 API. Supports multiple models, audio generation, and various aspect ratios for creating high-quality videos.24 PyPI3MIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no ambiguity. The tools cover different aspects of video generation and management: creation (create_video, create_fade_animation), status checking (get_video_status), listing (list_videos), deletion (delete_video), and merging (merge_videos). There is no overlap in functionality that would cause misselection.
All tool names follow a consistent verb_noun pattern using snake_case. The verbs (create, delete, get, list, merge) are clear and appropriate for their actions, and the nouns (fade_animation, video, video_status, videos) accurately describe the resources. There are no deviations or mixed conventions.
With 6 tools, the server is well-scoped for its purpose of video generation and management. Each tool earns its place by covering essential operations: creating videos, checking status, listing jobs, deleting jobs, and merging videos. This count is neither too thin nor too heavy for the domain.
The tool set provides complete CRUD/lifecycle coverage for video generation jobs. It includes creation (create_video, create_fade_animation), reading (get_video_status, list_videos), deletion (delete_video), and additional utility (merge_videos). There are no obvious gaps, and agents can handle the full workflow from generation to management.