Enables AI assistants to manage social media accounts, upload media (videos and images), track upload status, and manage content across platforms like Instagram, YouTube, and TikTok via the XenonFlare API.
Enables AI agents to publish and schedule short-form vertical videos across multiple social platforms, validate and normalize video files, generate platform-optimized metadata, and retrieve performance analytics.
Enables users to publish, schedule, and manage social media content across nine platforms including TikTok, Instagram, and X via the CodivUpload API. It also supports media management and the creation of YouTube live streams through natural language commands.
Lets any MCP-capable AI agent upload, schedule and publish videos on YouTube, Facebook and TikTok by driving the user's own logged-in Chrome, with no API keys, developer apps or app review. It cross-posts a single video to all three platforms in parallel with per-platform captions, and supports batches, dry runs, and verified scheduling results with failure evidence.
Local MCP server that compresses images and videos, extracts video frames, and prepares media for AI vision agents by returning file paths instead of inline base64.