# VideoDB MCP Server

> AI-powered video database Model Context Protocol server automatically tagging scenes, generating accurate transcriptions, and enabling quick video moment retrieval through simple queries for intelligent video content management.

- **URL:** https://github.com/video-db/videodb-mcp
- **Category:** Media Processing MCP Servers
- **Tags:** Video, Ai Assistant, Media
- **Featured:** yes
- **Updated:** 2026-03-19 19:36
- **Canonical page:** https://mcpserver.ever.works/items/videodb-mcp-server

## Details

## Overview

VideoDB MCP Server provides AI assistants with powerful video database capabilities. It uses AI to automatically tag scenes, generate transcriptions, and enable semantic video search through the Model Context Protocol.

## Features

### AI-Powered Video Analysis
- Automatic scene detection and tagging
- Visual content recognition
- Object and action detection
- Face and person identification
- Scene classification

### Transcription & Subtitles
- Accurate speech-to-text transcription
- Multi-language support
- Speaker diarization
- Subtitle generation
- Timestamp synchronization

### Semantic Search
- Natural language video queries
- Find specific moments in videos
- Search by dialogue or speech content
- Visual similarity search
- Multi-modal search (text + visual)

### Video Moment Retrieval
- Precise timestamp extraction
- Clip generation from queries
- Highlight reel creation
- Scene compilation
- Smart video summaries

## Use Cases

- Video content management and archival
- Media asset organization
- Video search and discovery
- Content moderation
- Educational video navigation
- Meeting recording analysis
- Podcast and webinar indexing
- Security footage analysis
- Sports video analysis

## Advanced Capabilities

### Video Understanding
- Action recognition
- Event detection
- Context analysis
- Sentiment analysis of visual content

### Metadata Extraction
- Automatic tagging
- Category classification
- Topic detection
- Entity recognition

### Content Creation
- Highlight generation
- Clip extraction
- Montage creation
- Summary videos

## Technical Implementation

Leverages state-of-the-art computer vision and speech recognition models for video analysis. Provides efficient indexing and retrieval through vector embeddings and semantic search.

## Integration

Compatible with Claude Desktop, Cursor, VS Code, and other MCP clients. Supports various video formats and streaming protocols.

## Performance

- Fast video processing and indexing
- Scalable to large video libraries
- Real-time transcription capabilities
- Efficient storage and retrieval

## API Features

- Upload and manage videos
- Query video content
- Extract clips and scenes
- Access transcriptions and metadata
- Generate video embeddings

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