video-transcriber-mcp
AI & Memory
Local
Enables high-performance, offline transcription of videos from 1000+ platforms and local files using whisper.cpp, with support for multiple model sizes, languages, and output formats over stdio or HTTP.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/g6b130mmjn for deploy options, or install from https://github.com/nhatvu148/video-transcriber-mcp-rs (see README for MCP config).
2
GitHub
Install from https://github.com/nhatvu148/video-transcriber-mcp-rs and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.