Comparison
MCP Video Analyzer vs Dify
Dify has more GitHub stars (158,628 vs 94). Dify was updated more recently (last commit 50m ago). Data comes straight from GitHub and refreshes daily.
MCP Video Analyzer
MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents.
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claude mcp add video-analyzer -- npx mcp-video-analyzer@latest
Dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype…
$
git clone https://github.com/langgenius/dify| Metric | MCP Video Analyzer | Dify |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 94 | 158,628 |
| Stars, last 7 days | n/a | +45 |
| Forks | 21 | 25,066 |
| Upvotes | 0 | 0 |
| Language | TypeScript | TypeScript |
| License | MIT | n/a |
| Last commit | 2d ago | 50m ago |
| Created | Mar 2026 | Apr 2023 |
| Categories | Media & audio, Memory & knowledge, AI & LLM tooling | AI & LLM tooling, Memory & knowledge, Frameworks & SDKs |