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- mcp-video-analyser
- mcp-video-analyser/dist/index.js
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Readme
mcp-video-analyser
A stdio-based MCP (Model Context Protocol) server for video analysis using Google Gemini and Moonshot Kimi AI.
Features
- Analyze video files with AI vision models
- Support for multiple providers: Google Gemini and Moonshot Kimi
- Interactive setup wizard for easy configuration
- User-scope or project-scope configuration
- Environment variable support with fallback defaults
- Video file validation (format, size, magic bytes)
- TypeScript with strict type checking
Installation
npm install -g mcp-video-analyser
# or
bun install -g mcp-video-analyserQuick Start
1. Run Setup
mcp-video-analyser setupThis will guide you through configuring your providers and API keys.
2. Configure Your MCP Client
Add to your MCP client configuration (e.g., Claude Desktop):
{
"mcpServers": {
"mcp-video-analyser": {
"command": "mcp-video-analyser",
"env": {
"GOOGLE_API_KEY": "your-google-api-key",
"MOONSHOT_API_KEY": "your-moonshot-api-key"
}
}
}
}3. Use the Tools
The server provides these MCP tools:
- analyze_video - Analyze a local video file with an AI prompt
- list_providers - List available providers and their models
- get_config - View current configuration (API keys masked)
Configuration
Config File Locations
| Scope | Path |
|---|---|
| User (default) | ~/.config/mcp-video-analyser/config.jsonc |
| Project | ./.config/mcp-video-analyser/config.jsonc |
Config Schema
{
// Default provider: google or kimi
"defaultProvider": "google",
// Default model when not specified
"defaultModel": "gemini-2.5-flash",
// Provider configurations
"providers": {
"google": {
// Supports: plain text, $ENV_VAR, ${ENV_VAR}, ${ENV_VAR:fallback}
"apiKey": "${GOOGLE_API_KEY}",
"enabled": true
},
"kimi": {
"apiKey": "${MOONSHOT_API_KEY}",
"baseUrl": "https://api.moonshot.ai/v1",
"enabled": false
}
},
// Video validation settings
"video": {
"maxSizeMB": 100,
"supportedFormats": ["mp4", "webm", "mov", "avi", "mkv"]
},
// Analysis defaults
"analysis": {
"temperature": 0.6,
"maxTokens": 8192
}
}Environment Variable Syntax
API keys in config support these formats:
"sk-your-plain-api-key" # Plain text
"$GOOGLE_API_KEY" # Direct env reference
"${GOOGLE_API_KEY}" # Curly brace syntax
"${GOOGLE_API_KEY:fallback}" # With fallback defaultCLI Commands
# Interactive setup wizard
mcp-video-analyser setup
# Setup with explicit scope
mcp-video-analyser setup --scope user
mcp-video-analyser setup --scope project
# Start MCP server (default command)
mcp-video-analyser
mcp-video-analyser serve
# Show version
mcp-video-analyser --version
# Show help
mcp-video-analyser --helpSupported Providers
Google Gemini
| Model | Description |
|---|---|
gemini-2.5-flash |
Recommended - fast & capable |
gemini-2.5-pro |
Most powerful |
gemini-2.0-flash |
Previous generation |
gemini-1.5-pro |
Up to 1hr video |
gemini-1.5-flash |
Budget-friendly |
Requirements:
- Google AI API key from Google AI Studio
- Videos are uploaded via Google's File API for processing
Moonshot Kimi
| Model | Description |
|---|---|
kimi-k2.5 |
Latest - multimodal agent |
kimi-k2 |
Previous generation |
Requirements:
- Moonshot API key from Moonshot AI
- Videos are sent as base64-encoded data
Supported Video Formats
- MP4 (
.mp4) - WebM (
.webm) - QuickTime (
.mov) - AVI (
.avi) - Matroska (
.mkv)
Maximum file size: 100 MB (configurable)
Development
Prerequisites
- Node.js >= 20.0.0
- Bun (recommended) or npm
Setup
# Clone the repository
git clone https://github.com/your-repo/mcp-video-analyser.git
cd mcp-video-analyser
# Install dependencies
bun install
# Build
bun run build
# Run in development
bun run devScripts
| Script | Description |
|---|---|
bun run build |
Compile TypeScript |
bun run dev |
Run server in development |
bun run dev:cli |
Run CLI in development |
bun run setup |
Run setup wizard |
bun run lint |
Run linting |
bun run format |
Format code |
bun run check |
Run all checks |
Project Structure
mcp-video-analyser/
├── src/
│ ├── cli/ # CLI commands
│ │ ├── commands/ # Individual commands
│ │ ├── prompts.ts # @clack/prompts helpers
│ │ └── index.ts # CLI entry point
│ ├── config/ # Configuration system
│ │ ├── env.ts # Environment variable resolver
│ │ ├── paths.ts # Config path resolution
│ │ ├── schema.ts # Valibot schema
│ │ └── index.ts # Config manager
│ ├── providers/ # AI provider implementations
│ │ ├── google/ # Google Gemini
│ │ ├── kimi/ # Moonshot Kimi
│ │ ├── types.ts # Provider interface
│ │ └── index.ts # Provider registry
│ ├── tools/ # MCP tools
│ │ ├── handlers/ # Tool implementations
│ │ └── definitions.ts # Tool definitions
│ ├── utils/ # Utilities
│ │ ├── video.ts # Video validation
│ │ └── schemas.ts # Valibot schemas
│ ├── types/ # TypeScript types
│ └── index.ts # MCP server entry
├── package.json
├── tsconfig.json
├── biome.json
└── mcp.json # Example MCP client configLicense
MIT