Video Metadata MCP Server

Video Metadata MCP Server

Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.

Category
Visit Server

README

Video Metadata MCP Server

A Model Context Protocol (MCP) server for managing video metadata with game information, teams, scores, and other sports-related data. This server uses PostgreSQL as the database backend.

Features

  • CRUD Operations: Create, read, update, and delete video metadata records
  • Advanced Search: Filter videos by game type, teams, league, season, tags, and date ranges
  • PostgreSQL Integration: Robust database with JSONB support for flexible data storage
  • MCP Protocol: Compatible with Claude Desktop and other MCP clients
  • Rich Metadata: Support for game statistics, player data, venues, and more

Database Schema

The server manages video metadata with the following fields:

  • id: Unique identifier (auto-generated)
  • title: Video title
  • game_type: Type of game (e.g., "basketball", "football", "soccer")
  • teams: Array of participating team names
  • score: Final score as a string
  • duration_seconds: Video duration in seconds
  • video_url: URL to the video file
  • thumbnail_url: URL to the thumbnail image
  • description: Video description
  • tags: Array of tags for categorization
  • player_stats: JSON object containing player statistics
  • match_date: Date when the match was played
  • venue: Location where the match took place
  • league: League or competition name
  • season: Season identifier
  • created_at / updated_at: Timestamps

Prerequisites

  • Node.js (v18 or higher)
  • PostgreSQL (v12 or higher)
  • npm or yarn

Installation

  1. Clone and setup the project:

    git clone <repository-url>
    cd metadata-mcp
    npm install
    
  2. Configure PostgreSQL:

    • Ensure PostgreSQL is running
    • Create a database named video_metadata (or use your preferred name)
    • Copy .env.example to .env and update the database credentials:
    cp .env.example .env
    
  3. Update environment variables in .env:

    POSTGRES_USER=your_username
    POSTGRES_PASSWORD=your_password
    POSTGRES_HOST=localhost
    POSTGRES_PORT=5432
    POSTGRES_DB=video_metadata
    
  4. Build the project:

    npm run build
    
  5. Initialize the database with sample data:

    npm run setup
    

Usage

Running the MCP Server

npm start

The server will run on stdio and can be connected to by MCP clients.

Available Tools

The server provides the following tools:

1. list_video_metadata

Get all video metadata records.

2. get_video_metadata

Get a specific video metadata record by ID.

  • Parameters: id (number)

3. search_video_metadata

Search video metadata with filters.

  • Parameters:
    • game_type (string, optional)
    • teams (array of strings, optional)
    • league (string, optional)
    • season (string, optional)
    • tags (array of strings, optional)
    • match_date_from (ISO date string, optional)
    • match_date_to (ISO date string, optional)

4. create_video_metadata

Create a new video metadata record.

  • Required Parameters: title, game_type, teams
  • Optional Parameters: All other fields

5. update_video_metadata

Update an existing video metadata record.

  • Required Parameters: id
  • Optional Parameters: Any field to update

6. delete_video_metadata

Delete a video metadata record.

  • Parameters: id (number)

7. get_game_types

Get all unique game types from the database.

8. get_teams

Get all unique teams from the database.

9. get_leagues

Get all unique leagues from the database.

Example Usage with Claude Desktop

Add this to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "video-metadata": {
      "command": "node",
      "args": ["/path/to/metadata-mcp/build/index.js"],
      "env": {
        "POSTGRES_USER": "your_username",
        "POSTGRES_PASSWORD": "your_password",
        "POSTGRES_HOST": "localhost",
        "POSTGRES_PORT": "5432",
        "POSTGRES_DB": "video_metadata"
      }
    }
  }
}

Sample Data

The setup script includes sample data for:

  • NBA Finals Game 7 (Lakers vs Celtics)
  • Super Bowl LVIII (Chiefs vs 49ers)
  • Champions League Final (Real Madrid vs Liverpool)

Development

Project Structure

src/
├── index.ts        # Main MCP server implementation
├── database.ts     # Database manager and schema
└── setup.ts        # Database initialization script

build/              # Compiled JavaScript files
tsconfig.json       # TypeScript configuration
package.json        # Dependencies and scripts
.env.example        # Environment variables template

Building

npm run build

Adding New Features

  1. Extend the VideoMetadata interface in database.ts
  2. Add corresponding database schema changes in initializeSchema()
  3. Implement new tools in the MCP server (index.ts)
  4. Add validation schemas using Zod

Database Indexes

The following indexes are automatically created for optimal performance:

  • idx_video_metadata_game_type: On game_type field
  • idx_video_metadata_teams: GIN index on teams JSONB array
  • idx_video_metadata_tags: GIN index on tags JSONB array
  • idx_video_metadata_match_date: On match_date field
  • idx_video_metadata_league: On league field

Error Handling

The server includes comprehensive error handling:

  • Database connection errors
  • Invalid parameter validation (using Zod schemas)
  • Resource not found errors
  • Proper MCP error codes and messages

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Submit a pull request

License

MIT License - see LICENSE file for details.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured