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Analyze local audio and video files into structured summaries and transcripts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "multimodal-reader-mcp" yet — see the docs or source repo.
Please analyze this local meeting audio file and return a structured summary, key timeline, full transcript, and observations about follow-up action items.
Returns meeting highlights, a time-based event timeline, segmented transcript content, and actionable follow-up observations.
Please read this local interview video and generate a summary, timeline, transcript, and observations on the interviewee's main points.
Outputs an interview overview, major segment timestamps, text transcript, and a synthesis of key viewpoints.
Analyze this local training video file and provide a chapter-style timeline, content summary, transcript, and important observations so I can understand the lesson quickly.
Provides a skimmable lesson summary, chapter timeline, corresponding transcript, and notable observations.
Researchers, product managers, or creators can use it to analyze local audio files and quickly get summaries, timelines, and transcripts, reducing manual review time.
When users need to review training, interview, or demo videos quickly, the tool can return structured outputs that help locate important segments and organize observations.
When local audio or video needs to become searchable and quotable text, users can rely on the transcript and summary outputs for writing, research, or documentation workflows.
It is an MCP server that uses Google Gen AI to analyze local audio and video files and return structured summaries, timelines, transcripts, and observations.
Based on the description, it works with local audio and video files. No more detailed format coverage is provided.
From the description, it depends on Google Gen AI and is used for analyzing local media files. Specific installation steps, API key setup, or runtime requirements are not provided; see the source repository.
Transcribe audio into structured notes with speakers, timestamps, summaries, and action items.
Let AI read, search, summarize, and answer questions about local files.
Transcribe media into text, summaries, and structured knowledge with Notion integration.
Analyze videos with scenes, transcripts, visual descriptions, and storyboards.
Transcribe audio, split recordings intelligently, and analyze meetings in MCP clients.
An MCP server for document processing and web search.