Kaltura Model Context Protocol (MCP) Server

Source

A Model Context Protocol (MCP) server that enables AI models to interact with Kaltura's media management platform. Allows AI assistants to upload, retrieve, search, and manage media content through a standardized protocol interface.

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Overview

Kaltura MCP is a Model Context Protocol (MCP) server that enables AI models to interact with Kaltura's media management platform, allowing for the upload, retrieval, search, and management of media content through a standardized protocol interface.

To use Kaltura MCP, you can either run it using Docker or install it manually. After installation, configure the server with your Kaltura API credentials and use it programmatically or with the MCP CLI.

Upload media files to Kaltura - Retrieve and manage media metadata - Search for media content - Manage categories and user permissions - Standardized API interaction for AI models

Integrating AI models with media management workflows.
Automating media uploads and metadata management.
Enhancing AI applications with media content retrieval capabilities.

Add to your AI client

Use these steps to connect Kaltura Model Context Protocol (MCP) Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "kaltura-mcp-zoharbabin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-kaltura-mcp-zoharbabin"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "kaltura-mcp-zoharbabin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-kaltura-mcp-zoharbabin"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "kaltura-mcp-zoharbabin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-kaltura-mcp-zoharbabin"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "kaltura-mcp-zoharbabin": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-kaltura-mcp-zoharbabin"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "kaltura-mcp-zoharbabin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-kaltura-mcp-zoharbabin"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "kaltura-mcp-zoharbabin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-kaltura-mcp-zoharbabin"
      ]
    }
  }
}

FAQ

Can Kaltura MCP handle all media types?

Yes! Kaltura MCP supports various media types for upload and management.

Is Kaltura MCP easy to integrate with existing AI systems?

Yes! The standardized protocol makes it straightforward to integrate with AI workflows.

What are the system requirements for running Kaltura MCP?

Kaltura MCP can be run using Docker or manually on any system that supports Python and Docker.

Developer tools