Video Digest
MCP Video Digest enables AI assistants to transcribe and analyze video content from various sources like YouTube. Developed by R-lz, it leverages multiple transcription services (Deepgram, Gladia, Speechmatics, and AssemblyAI) to convert video audio into text, with automatic fallback between services for reliability. The implementation handles video downloading through yt-dlp and manages the entire workflow from URL input to transcription output. This tool is particularly valuable for content analysis, research, and accessibility purposes where extracting text from video content is needed.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- social-media
- Source
- PulseMCP
- Repository
- github.com/r-lz/mcp-video-digest
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Video Digest from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.